Slack for Awesome Conformal Prediction Please reach out to [email protected] if you have issues with Slack link and need invite to the Slack.
The most comprehensive professionally curated resource on Conformal Prediction including the best tutorials, videos, books, papers, articles, courses, websites, conferences and open-source libraries code in Python, R and Julia.
I have created this resource after completing my PhD in Machine Learning specialising in Conformal Prediction (supervised by the creator of Conformal Prediction Prof. Vladimir Vovk). The resources were meticulously collected since 2015 and after completing my PhD (thesis "Machine Learning for Probabilistic Prediction is available in the "Theses" section) I have decided to share them with the global machine learning community.
Conformal Prediction goes back to Kolmogorov's notion of randomness described in two papers : 1) Andrei Kolmogorov (1968). "Logical basis for information theory and probability theory." IEEE Transactions on Information Theory IT-14:662-664 and 2) Andrei Kolmogorov (1983). "Combinatorial foundations of information theory and the calculus of probabilities." Russian Mathematical Surveys 38(4):29-4.
Conformal Prediction is no longer a niche area of research like it was just a few years ago, it has seen exponential growth during the last 2-3 years due to the work of amazing ambassadors of Conformal Prediction such as Prof. Larry Wasserman and Anastasious Angelopolous in academia. There has been two tracks dedicated to conformal prediction at ICML2021 and ICML2022 and key invited talk by Professor Emmanuel Candes 'Conformal Prediction in 2022' at NeurIPS2022. The main conference on Conformal Prediction (COPA) has been running for over 11 years.
Awesome Conformal Prediction has been cited in the best book on Machine Learning (aka the machine learning 'bible') "Probabilistic Machine Learning: Advanced Topics" by the leading research scientist at Google (over 80K Google Scholar citations) and Bestselling Machine Learning Book Author Kevin Murphy (starting at page 555).
I am actively promoting Conformal Prediction (because it is well Awesome) on social media incluidng LinkedIn and Twitter. ResearchGate has all my research and I occasionally publish in Medium sharing insights from the data science trenches in the industry. Please feel free to connect and also help spread the word about Conformal Prediction.
Please star ๐ the repo and spread the word. If you use the repository in a scientific publication, please ensure citing Awesome Conformal Prediction to help promote this amazing framework in academia and industry:
Manokhin, Valery. (2022). Awesome Conformal Prediction (v1.0.0). Zenodo. https://zenodo.org/record/6467205 https://doi.org/10.5281/zenodo.6467205
Bibtex entry export https://zenodo.org/record/6467205/export/hx
@software{manokhin_valery_2022_6467205, author = {Manokhin, Valery}, title = {Awesome Conformal Prediction}, month = apr, year = 2022, note = {{"If you use Awesome Conformal Prediction, please cite it as below."}}, publisher = {Zenodo}, version = {v1.0.0}, doi = {10.5281/zenodo.6467205}, url = {https://doi.org/10.5281/zenodo.6467205} }
Slack for Awesome Conformal Prediction
Please reach out to [email protected] if you have issues with Slack link and need invite to the Slack.
Why Conformal Prediction?
One of the most influential and celebrated machine learning researchers - Professor Michael I. Jordan:
'๐๐ผ๐ป๐ณ๐ผ๐ฟ๐บ๐ฎ๐น ๐ฃ๐ฟ๐ฒ๐ฑ๐ถ๐ฐ๐๐ถ๐ผ๐ป ๐ถ๐ฑ๐ฒ๐ฎ๐ ๐ฎ๐ฟ๐ฒ ๐ง๐๐ ๐ฎ๐ป๐๐๐ฒ๐ฟ ๐๐ผ ๐จ๐ค (๐๐ป๐ฐ๐ฒ๐ฟ๐๐ฎ๐ถ๐ป๐๐ ๐พ๐๐ฎ๐ป๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป), ๐ ๐๐ต๐ถ๐ป๐ธ ๐ถ๐'๐ ๐๐ต๐ฒ ๐ฏ๐ฒ๐๐ ๐ ๐ต๐ฎ๐๐ฒ ๐๐ฒ๐ฒ๐ป - ๐ถ๐๐ ๐๐ถ๐บ๐ฝ๐น๐ฒ, ๐ด๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐น๐ถ๐๐ฎ๐ฏ๐น๐ฒ ๐ฒ๐๐ฐ.' (ICML 2021 UQ workshop). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
One the most influential statistics Professors - Larry Wasserman (Carnegie Mellon):
'๐ฆ๐ผ ๐๐ต๐ฒ ๐ฏ๐ฒ๐ฎ๐๐๐ ๐ผ๐ณ ๐๐ต๐ฒ ๐ฐ๐ผ๐ป๐ณ๐ผ๐ฟ๐บ๐ฎ๐น ๐๐ต๐ถ๐ป๐ด ๐ถ๐ ๐ต๐ผ๐ ๐๐ถ๐บ๐ฝ๐น๐ฒ ๐ถ๐ ๐ถ๐ ๐๐ผ ๐ฑ๐ผ ๐ถ๐ ๐ฎ๐ป๐ฑ ๐ต๐ผ๐ ๐ด๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐น ๐ถ๐ ๐ถ๐. ๐ฆ๐ผ ๐ ๐๐ต๐ถ๐ป๐ธ ๐๐ผ๐ ๐ธ๐ป๐ผ๐ ๐ถ๐ฑ๐ฒ๐ฎ๐ ๐๐ต๐ฎ๐ ๐ฐ๐ฎ๐๐ฐ๐ต ๐ผ๐ป, ๐ด๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐น ๐ถ๐ฑ๐ฒ๐ฎ๐ ๐๐ต๐ฎ๐ ๐ฎ๐ฟ๐ฒ ๐ฝ๐ฟ๐ฒ๐๐๐ ๐ด๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐น ๐ฎ๐ป๐ฑ ๐๐๐ฌ๐ฒ ๐ญ๐จ ๐ข๐ฆ๐ฉ๐ฅ๐๐ฆ๐๐ง๐ญ ๐ญ๐ก๐๐ญ ๐ฒ๐จ๐ฎ ๐๐๐ง ๐ฉ๐ข๐๐ญ๐ฎ๐ซ๐ ๐ฒ๐จ๐ฎ๐ซ๐ฌ๐๐ฅ๐ ๐ฎ๐ฌ๐ข๐ง๐ ๐ข๐ง ๐ซ๐๐๐ฅ ๐๐ฉ๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ ๐๐ซ๐ ๐ญ๐ก๐ ๐ซ๐๐๐ฌ๐จ๐ง ๐ญ๐ก๐๐ญ ๐ฉ๐๐จ๐ฉ๐ฅ๐ ๐ฎ๐ฌ๐ข๐ง๐ ๐๐จ๐ง๐๐จ๐ซ๐ฆ๐๐ฅ ๐ฉ๐ซ๐๐๐ข๐๐ญ๐ข๐จ๐ง.' ๐๐๐๐๐
'Conformal inference methods are becoming all the rage in academia and industry alike. In a nutshell, these methods deliver exact prediction intervals for future observations without making any distributional assumption whatsoever other than having iid, and more generally, exchangeable data.'
Prof. Emmanual Candes (Stanford) - Neurips 2022 key talk.
https://slideslive.com/icml-2021/workshop-on-distributionfree-uncertainty-quantification
When prominent professors from the best research labs in the world say this about conformal prediction it is quite an endorsement.
What about the industry one might ask - well Conformal Prediction already for several years powers the main anomaly detection proposition in Microsoft Azure and Data Robot (AutoML) uses Conformal Prediction to generate robust prediction intervals for its models
In 2021 conformal prediction research experienced exponential growth in academia and with the availability of open-source libraries the industry is positioned to replicate this growth in the industry.
๐ข๐ขIndustry take notice. The revolution in Uncertainty Quantification / Probabilistic Prediction / Forecasting is already here ๐ข๐ข A big one ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
๐ ๐ ๐ ๐ ๐
Featured resources:
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Colab ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ TIME SERIES ๐๐๐๐๐
This is newest version of the super-popular tutorial on Conformal Prediction (over 10K+ stars on YouTube) now significantly expanded (2x), including advanced techniques such as covariate shift conformal, as well as a super fun history and literature review in Section 7.
A Tutorial on Conformal Prediction by Anastasios Angelopoulos and Stephen Bates (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
A Tutorial on Conformal Prediction Part 2: Conditional Coverage and Diagnostics by Anastasios Angelopoulos and Stephen Bates (2022)
โญโญ๏ธโญ๏ธโญ๏ธโญ๏ธ
Course on Conformal Prediction - 5 week course starts soon! ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Algorithmic Learning in a Random World by Vladimir Vovk and Alex Gammerman, also Glenn Shafer (2005). Second edition in progress. ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction for Reliable Machine Learning by Vineeth Balasubramanian, Shen-Shyang Ho, Vladimir Vovk (2014) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal predictive distributions with kernels by Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman (Chapter in 'Braverman Readings in Machine Learning. Key Ideas from Inception to Current State', Springer, 2018). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Confidence, Likelihood, Probability by Tore Schweder and Nils Lid Hjort (University of Oslo, 2016). Not directly about Conformal Prediction but a great book about modern frequentist methods. ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Probabilistic Machine Learning: Advanced Topics by Kevin Murphy (2022) has a chapter on conformal prediction. ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Machine Learning for Probabilistic Prediction, PhD Thesis, Valery Manokhin (Royal Holloway, UK, 2022)
- Conformal and Venn Predictors for large, imbalanced and sparse chemoinformatics data, PhD Thesis, Paolo Toccaceli (Royal Holloway, UK, 2021)
- Competitive online algorithms for probabilistic prediction, PhD Thesis, Raisa Dzhamtyrova (Royal Holloway, UK, 2020)
- Conformal Prediction and Testing under On-line Compression Models, PhD Thesis, Valentina Fedorova (Royal Holloway, UK, 2014)
- Adaptive Online Learning, PhD Thesis, Dmitry Adamskiy (Royal Holloway, UK, 2013)
- On discovery and exploitation of temporal structure in data sets, PhD Thesis, Tim Scarfe, (Royal Holloway, UK, 2015)
- Black-box Security Measuring Black-box Information Leakage via Machine Learning,PhD Thesis, Giovanni Cherubin (Royal Holloway, UK, 2019)
- Small and Large Scale Probabilistic Classifiers with Guarantees of Validity, PhD Thesis, Ivan Petej (Royal Holloway, UK, 2019)
- Confidence and Venn Machines and Their Applications to Proteomics by Devetyarov, Dmitry (Royal Holloway, UK, 2019)
- Conformal Anomaly Detection - detecting abnormal trajectories in surveillance applications by Rikard Laxhammar (University of Skoeve, Sweden, 2014)
- Inductive Confidence Machine for Pattern Recognition - is it the next step towards AI by David Surkov (Royal Holloway, UK, 2004)
- Distribution Free Prediction Intervals for Multiple Functional Regression by Ryan Kelly (University of Pittsburgh, 2020).
- Probabilistic Load Forecasting with Deep Conformalized Quantile Regression by Vilde Jensen (Artcic University of Norway, 2021)
- Model-free methods for multiple testing and predictive inference, PhD Thesis, Zhimei Ren (Stanford, 2021)
- Comparison of Support Vector Machines and Deep Learning For QSAR with Conformal Prediction by Deligianni Maria, MSc thesis, Universit of Uppsala (2022)
- Predictive Maintenance with Conformal and Probabilistic Prediction: A Commercial Case Study by James Gammerman (2022)
- Risk-Sensitive Decision-Making for Autonomous-Driving by Hardy Hasan (University of Uppsala, 2022)
- Distribution-Free Finite-Sample Guarantees and Split Conformal Prediction, MSc thesis by Roel Hulsman, University of Oxford (2022)
- Coreset-based Protocols for Machine Learning Classification, PhD thesis by Nery Riquelme Granada (Royal Holloway, University of London, 2022)
- Conformal survival predictions at a user-controlled time point by Jelle Van Miltenburg (KTH ROYAL INSTITUTE OF TECHNOLOGY, 2018)
- Reliable Machine Learning with ConformalPrediction: A Review with Contributions by Martim Sousa (2022)
- A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification by Anastasios N. Angelopoulos and Stephen Bates (2021) Video Code ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification by Anastasios N. Angelopoulos and Stephen Bates (2021)
- A Tutorial on Conformal Predictive Distributions by Paolo Toccaceli (2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Predication Tutorial by Henrik Linusson (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Henrik Linusson: Conformal Prediction by Henrik Linusson (2020)
- Predicting with Confidence - Henrik Bostrรถm by Henrik Bostrรถm (2016)
- Venn Predictors Tutorial by Ulf Johansson, Cecilia Sรถnstrรถd, Tuve Lรถfstrรถm, and Henrik Bostrรถm (2021)
- Ulf Johansson: Venn Predictors by Ulf Johansson (2020)
- A Tutorial on Conformal Prediction by Glenn Shafer and Vladimir Vovk (2008) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction: a Unified Review of Theory and New Challenges by Gianluca Zeni, Matteo Fontana1 and Simone Vantini (Politecnico di Milano, Italy, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction in Spark by Marco Capuccini (Uppsala University, 2017)
- Tutorial on Venn-ABERS prediction by Paolo Toccaceli (Royal Holloway, UK, 2019) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- An Introduction to Conformal Prediction by Henrik Linusson (2017) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Introduction to Conformal Prediction by Vineeth N Balasubramanian (Indian Institue of Technology, Hyderabad, 2015)
- Conformal prediction A Tiny Tutorial on Predicting with Confidence by Henrik Linusson and Ulf Johansson (2014)
- Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification by Anastasios Angelopoulos (Berkeley, 2022)
- A Tutorial on Conformal Prediction Part 2: Conditional Coverage and Diagnostics by Anastasios Angelopoulos and Stephen Bates (2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Beyond Conformal Prediction: Tutorial on Conformal Part 3 by Anastasios Angelopoulos and Stephen Bates (2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Getting predictions intervals with conformal inference by Rajiv Shah (2022) YouTube Code ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Uncertainty estimation in NLP by Tal Schuster, Adam Fisch (MIT, USC, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Regression prediction intervals with MAPIE on Kaggle by Carl McBride Ellis, PhD
- Course on Conformal Prediction - 5 week course starts soon! ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Uncertain: Modern topics in uncertainty estimation YouTube Course notes by Aaron Roth (University of Pennsylvania, 2022)
- Topics in Modern Statistical Learning by Edgar Dobriban (Wharton Business School, University of Pennsylvania, 2022)
- Theory of Statistics Stanford Statistics course by Prof Emmanuel Candes (2022)
- 36-708 Statistical Methods for Machine Learning Carnegie-Mellon course by Prof Larry Wasserman (2022)
- Treatment of Uncertainty in the Foundations of Probability by Vladimir Vovk (Royal Holloway, UK, 2017)
- Large-Scale Probabilistic Prediction With and Without Validity Guarantees by Vladimir Vovk (Royal Holloway, UK, NeurIPS 2015) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal testing in a binary model situation by Vladimir Vovk (Royal Holloway, UK, 2021)
- Protected probabilistic classification by Vladimir Vovk (Royal Holloway, UK, 2021)
- Retrain or not retrain: conformal test martingales for change-point detection by Vladimir Vovk (Royal Holloway, UK, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- A Tutorial on Conformal Prediction by Anastasios Angelopoulos and Stephen Bates (Berkeley, ICML 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Steps Toward Trustworthy Machine Learning by Tom Dietterich (2021)
- A Tutorial on Conformal Predictive Distributions by Paolo Toccaceli (Royal Holloway, UK, 2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction Tutorial by Henrik Linusson (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Henrik Linusson: Conformal Prediction by Henrik Linusson (2020)
- Predicting with Confidence - Henrik Bostrรถm by Henrik Bostrรถm (2016)
- How to increase certainty in predictive modeling by Emmanuel Candes (Stanford, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Recent Progress in Predictive Inference by Emmanuel Candes (Stanford, 2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Some recent progress in predictive inference" (Stanford) @ MAD+ by Emmanuel Candes (Stanford, 2020)
- Conformal Prediction in 2020 by Emmanuel Candes (Stanford, 2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Assumption-free prediction intervals for black-box regression algorithms by Aaditya Ramdas (Carnegie Mellon, 2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Maria Navarro: Quantifying uncertainty in Machine Learning predictions | PyData London 2019 by Maria Navarro (2019)
- Conformal Prediction: Enhanced Method for Understanding the Prediction Quality by Artem Ryasik and Greg Landrum
- Venn Predictors Tutorial by Ulf Johansson, Cecilia Sรถnstrรถd, Tuwe Lรถfstrรถm, and Henrik Bostrรถm (2021)
- Mondrian conformal predictive distributions by Henrik Bostrรถm, Ulf Johansson, and Tuwe Lรถfstrรถm (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Calibrating Multi-Class Models by Ulf Johansson, Tuwe Lรถfstrรถm, and Henrik Bostrรถm (2021)
- Conformal testing in a binary model situation by Vladimir Vovk (Royal Holloway, UK, 2021)
- Conformal prediction in Orange by Tomaลพ Hoฤevar and Blaลพ Zupan (2021)
- Distribution-Free, Risk-Controlling Prediction Sets by Anastasios Angelopoulos (Stanford, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction and Distribution-Free Calibration by Aaditya Ramdas (Carnegie Mellon, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Reliable Diagnostics by Conformal Predictors by Alexander Gammerman (Royal Holloway, UK, 2015)
- Distribution-Free, Risk-Controlling Prediction Sets by Anastasios Angelopoulos (Stanford, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Inference of Counterfactuals and Time-to-event Outcomes by Lihua Lei (Stanford, 2021)
- Algo Hour โ Conformal Inference of Counterfactuals and Individual Treatment Effect by Lihua Lei (Stanford, 2021)
- Conformal Inference of Counterfactuals and Individual Treatment effects(Stanford) by Lihua Lei (Stanford, 2021)
- Approximation to object conditional validity with inductive conformal predictors by Anthony Bellotti (University of Nottingham Ningbo, China, 2021)
- Ulf Johansson: Venn Predictors by Ulf Johansson (Jรถnkรถping University, Sweden, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Transformer-based conformal predictors for paraphrase detection by Patrizio Giavannotti and Prof. Alexander Gammerman (Royal Holloway, UK, 2021)
- Conformal Inference of Counterfactuals and Individual Treatment Effects by Lihua Lei (Stanford, 2020)
- Model-Free Predictive Inference by Larry Wasserman (Carnegie Mellon, 2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Shapley-value based inductive conformal prediction by William Lopez Jaramillo (2021)
- Conformal Training: Learning Optimal Conformal Classifiers | DeepMind by David Stutz (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Distribution-Free, Risk-Controlling Prediction Sets by Anastasios Angelopoulos (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Assumption-Free, High-Dimensional Inference by Larry Wasserman (2016)
- Neural Predictive Monitoring under Partial Observability by Francesca Cairolli (2021)
- Conformalized Kernel Ridge Regression and Its Efficiency by Evgeny Burnaev (Skolkovo, Russia, 2015)
- Fast conformal classification using influence functions by Giovanni Cherubin (Alan Turing Institute, UK, 2021)
- Valid inferential models and conformal prediction by Ryan Martin (North Carolina State University, USA, 2021)
- Mondrian conformal predictive distributions by Henrik Bostrรถm, Ulf Johansson and Tuwe Lรถfstrรถm (KTH Royal Institute of Technology, Sweden, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Evaluation of updating strategies for conformal predictive systems in the presence of extreme events by Hugo Werner, Lars Carlsson, Ernst Ahlberg and and Henrik Bostrรถm (KTH Royal Institute of Technology, Sweden, 2021)
- Exact and Robust Conformal Inference Methods for Predictive Machine Learning With Dependent Data by Victor Chernozhukov (MIT, USA, 2019) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Ulf Johansson: Venn Predictors by Ulf Johansson (Jรถnkรถping University, Sweden, 2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Class-wise confidence for debt prediction in real estate management by Soundouss Messoudi (2021)
- How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers by Marharyta Aleksandrova (2021)
- Nested conformal prediction and quantile out-of-bag ensemble methods by Chirag Gupta (Carnegie Mellon, 2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Panel with Michael I. Jordan, Vladimir Vovk, and Larry Wasserman, moderated by Aaditya Ramdas by Vladimir Vovk, Larry Wasserman, Michael I. Jordan, Aaditya Ramdas, ICML 2021 ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Black-box uncertainty - Anastasios Angelopoulos by Anastasios Angelopoulos (Berkeley, USA, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- P.C. Mahalanobis Memorial Lectures 2020-21 by Vladimir Vovk (Royal Holloway, UK, 2021)
- Rahul Vishwakarma: New Perspective on Machine Learning Predictions Under Uncertainty | SNIA Storage Developer Conference, Santa Clara 2019 by Rahul Vishwakarma (2019)
- Fast conformal classification using influence functions by Umang Bhatt, Adrian Weller and Giovanni Cherubin (Cambridge / Alan Turinig Institute, 2021).
- Adaptive Conformal Predictions for Time Series | ISDFS by Margaux Zaffran (2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅCode
- Recent progress in predictive inference by Emmanuel Candes, Stanford University (2022)
- Conformalized Survival Analysis with Adaptive Cutoffs by Rina Foygel Barber, Zhimei Ren, Yu Gui and Rohan Hore, University of Chicago (2022)
- Calibrating probabilistic hierarchical forecasts with conformal predictions by Daan Ferdinandusse (University of Amsterdam, 2022)
- Michael I. Jordan on Conformal Prediction by Michael I. Jordan (Berkeley, 2022)
- Distribution-free Prediction: Exchangeability and Beyond by Rina Foygel Barber (University of Chicago, 2022)
- Purdue Statistics Theme Seminar, Conformal Prediction in 2022 by Emmanuel Candes (Stanford, 2022)
- WILL MY ROBOT ACHIEVE MY GOALS? PREDICTING THE PROBABILITY THAT AN MDP POLICY REACHES A USER-SPECIFIED BEHAVIOR TARGET by Alexander Guyer and Thomas G. Dietterich (University of Oregon, 2022)
- Robust and Equitable Uncertainty Estimation by Aaron Roth(2022)
- Conformal prediction under feedback covariate shift for biomolecular design by Clara Wong-Fannjiang (Berkeley, 2022)
- Conformal prediction in 2022 invited talk by Emmanuel Candes at NeurIPS2022 ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Broadening the Scope of Conformal Inference by Michael I. Jordan (University of Berkeley, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Introducing Conformal Prediction in Predictive Modeling. A Transparent and Flexible Alternative to Applicability Domain Determination by Ulf Norinder, Lars Carlsson, Scott Boyer, and Martin Eklund (2014)
- Uncertainty Sets for Image Classifiers using Conformal Prediction by Anastasios N. Angelopoulos, Stephen Bates, Jitendra Malik, & Michael I. Jordan (Berkeley, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction Under Covariate Shift by Ryan Tibshirani, Rina Foygel Barber, Emmanuel Candes, Aaditya Ramdas (Carnegie Mellon, Stanford, Chicago, 2019) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Regression Conformal Prediction with Nearest Neighbours by Harris Papadopoulos, Vladimir Vovk and Alex Gammerman (Royal Holloway, UK, 2014)
- Nested conformal prediction and quantile out-of-bag ensemble methods by Chirag Gupta, Arun Kuchibhotla and Aaditya Ramdas (Carnegie Mellon, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Cross-conformal predictive distributions by Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin and Alexander Gammerman (Royal Holloway, UK, 2018) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Criteria of Efficiency for Conformal Prediction by Vladimir Vovk, Ilia Nouretdinov, Valentina Fedorova, Ivan Petej, and Alex Gammerman ((Royal Holloway, UK, 2016)
- Conformal Prediction for Simulation Models by Benjamin LeRoy and Chad Schafer (Carnegie Mellon, 2021)
- Distribution-free, risk-controlling prediction sets Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik and Michael I Jordan (Berkeley, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conditional calibration for false discovery rate control under dependence by William Fithian and Lihua Lei (Stanford, 2021)
- Conformal Prediction: a Unified Review of Theory and New Challenges by Gianluca Zeni, Matteo Fontana and S. Vantini (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Regression conformal prediction with random forests by Ulf Johansson, Henrik Bostrรถm, Tuve Lรถfstrรถm and Henrik Linusson (2014)
- A conformal prediction approach to explore functional data by Jing Lei, Alessandro Rinaldo, Larry Wasserman (Carnegie Mellon, 2013)
- An electronic nose-based assistive diagnostic prototype for lung cancer detection with conformal prediction by Xianghao Zhana,c, Zhan Wanga, Meng Yangb, Zhiyuan Luod, You Wanga, Guang Li (2020)
- Predicting the Rate of Skin Penetration Using an Aggregated Conformal Prediction Framework by Martin Lindh, A. Karlรฉn, Ulf Norinder (2017)
- The application of conformal prediction to the drug discovery process by Martin Eklund, Ulf Norinder, Scott Boyer & Lars Carlsson (2014) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Distributional conformal prediction by Victor Chernozhukov, Kaspar Wรผthrich, Yinchu Zhu (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Anomaly Detection of Trajectories with Kernel Density Estimation by Conformal Prediction by James Smith, Ilia Nouretdinov, Rachel Craddock, Charles Offer, and Alexander Gammerman (2009)
- Conformal prediction interval estimation and applications to day-ahead and intraday power markets by Christopher Kath, Florian Ziel (2019) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- The application of conformal prediction to the drug discovery process by Martin Eklund, Ulf Norinder, Scott Boyer & Lars Carlsson (2013)
- Anomaly Detection of Trajectories with Kernel Density Estimation by Conformal Prediction by James Smith, Ilia Nouretdinov, Rachel Craddock, Charles Offer, Alexander Gammerman (Royal Holloway, UK, 2014)
- Conformal Prediction: a Unified Review of Theory and New Challenges by Gianluca Zeni, Matteo Fontana1 and Simone Vantini (Politecnico di Milano, Italy, 2021)
- Exchangeability, Conformal Prediction, and Rank Tests by Arun Kuchibhotla (Carnegie Mellon, 2021)
- Conformal prediction with localization by Leying Guan (Yale, 2020)
- Predicting skin sensitizers with confidence - Using conformal prediction to determine applicability domain of GARD by Andy Forreryd, Ulf Norinder, Tim Lindberg, Malin Lindstedt (2018)
- Binary classification of imbalanced datasets using conformal prediction by Ulf Norinder, Scott Boyer (2017)
- Discretized conformal prediction for efficient distribution-free inference by Wenyu Chen, Kelli-Jean Chun, and Rina Foygel Barber (2017)
- Validity, consonant plausibility measures, and conformal prediction by Leonardo Cella. and Ryan Martin (2021)
- Conformal Prediction Classification of a Large Data Set of Environmental Chemicals from ToxCast and Tox21 Estrogen Receptor Assays by Ulf Norinder, Scott Boyer (2016)
- Conformal prediction to define applicability domain โ A case study on predicting ER and AR binding by U. Norinder, A. Rybacka, P.Andersson (2016)
- Conformal prediction of biological activity of chemical compounds by Paolo Toccaceli, Ilia Nouretdinov, Alex Gammerman (Royal Holloway, UK, 2017) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Introducing conformal prediction in predictive modeling for regulatory purposes. A transparent and flexible alternative to applicability domain determination by Ulf Norinder, Lars Carlsson, Scott Boyer, Martin Eklund (2015)
- Aggregated Conformal Prediction by Lars CarlssonMartin EklundUlf Norinder (2014)
- Interpretation of Conformal Prediction Classification Models by Ernst Ahlberg, Ola Spjuth, Catrin Hasselgren, Lars Carlsson (2015)
- Cross-Conformal Prediction with Ridge Regression by Harris Papadopoulos (2015)
- Sparse conformal prediction for dissimilarity data by Frank-Michael Schleif, Xibin Zhu and Barbara Hammer (2015)
- Effective utilization of data in inductive conformal prediction using ensembles of neural networks by Tuve Lรถfstrรถm, Ulf Johansson and Henrik Bostrรถm (2013)
- Beyond the Basic Conformal Prediction Framework by Vladimir Vovk (2014)
- An electronic nose-based assistive diagnostic prototype for lung cancer detection with conformal prediction by Xianghao Zhan, Zhan Wang, Meng Yang, Zhiyuan Luo, You Wang, Guang Li (Stanford, Royal Holloway, China University of Mining and Technology, 2020)
- Predicting with confidence: Using conformal prediction in drug discovery by Jonathan Alvarsson, Staffan Arvidsson McShane, Ulf Norinder, Ola Spjuth (2021)
- Inductive conformal prediction for silent speech recognition by Ming Zhang, You Wang, Zhang Wei, Meng Yang, Zhiyuan Luo, Guang Li (2020)
- Large scale comparison of QSAR and conformal prediction methods and their applications in drug discovery by Nicolas Bosc, Francis Atkinson, Eloy Felix, Anna Gaulton, Anne Hersey and Andrew R. Leach (2019)
- Deep Conformal Prediction for Robust Models by Soundouss Messoudi, Sylvain Rousseau and Sรฉbastien Destercke (2020)
- Strong validity, consonance, and conformal prediction by Leonardo Cella and Ryan Martin (2020)
- Skin Doctor CP: Conformal Prediction of the Skin Sensitization Potential of Small Organic Molecules by Anke Wilm, U. Norinder, M. Agea, Christina de Bruyn Kops, Conrad Stork, J. Kรผhnl, J. Kirchmair (2020)
- Conformal prediction based active learning by linear regression optimization by Sergio Matiz, Kenneth E.Barner (2020)
- Conformal prediction intervals for the individual treatment effect by Danijel Kivaranovic, Robin Ristl, Martin Poschb, Hannes Leeb (2020)
- Nearest neighbor based conformal prediction by Lรกszlรณ Gyรถrfi and Harro Walk (2020)
- Concepts and Applications of Conformal Prediction in Computational Drug Discovery by Isidro Cortรฉs-Ciriano and Andreas Bender (2019) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Predicting Ames Mutagenicity Using Conformal Prediction in the Ames/QSAR International Challenge Project by Ulf Norinder, Ernst Ahlberg, Lars Carlsson (2018)
- Nested Conformal Prediction and the Generalized Jackknife by Arun Kuchibhotla and Aaditya Ramdas (Carnegie Mellon, 2019)
- Predictive inference with the jackknife+ by Rina Foygel Barber, Emmanuel Candรจs, Aaditya Ramdas, and Ryan Tibshirani (2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Nonparametric predictive distributions based on conformal prediction by Vladimir Vovk, Jieli Shen, Valery Manokhin and Min-ge Xie (Royal Holloway, UK, Rutgers, USA, 2018) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- A Distribution-Free Test of Covariate Shift Using Conformal Prediction by Xiaoyu Hu and Jing Lei (Peking Univerity, China and Carnegie Mellon, USA, 2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Exchangeability, Conformal Prediction, and Rank Tests by Arun Kuchibhotla (Carnegie Mellon, 2021)
- Conformal prediction with localization by Leying Guan (2020)
- Multitask Modeling with Confidence Using Matrix Factorization and Conformal Prediction by Ulf Norinder, Fredrik Svensson
- Conformal prediction of HDAC inhibitors by U. Norinder, J.J.Navaka, E. Lopez-Lopez, D. Mucs & J.L. Medina-Franco (2019)
- Computing Full Conformal Prediction Set with Approximate Homotopy by Eugene Ndiaye, Ichiro Takeuchi (2019)
- Conformal Prediction Based on Raman Spectra for the Classification of Chinese Liquors by Jiao Gu, Huaibo Liu, Chaoqun Ma, Lei Li, Chun Zhu, Christ Glorieux, Guoqing Chen (2019)
- Efficient and minimal length parametric conformal prediction regions by Daniel Eck and Forrest Crawford (2019)
- Conformal Prediction for Students' Grades in a Course Recommender System by Raphael Morsomme and Evgueni Smirnov (2019)
- Efficient iterative virtual screening with Apache Spark and conformal prediction by Laeeq Ahmed, Valentin Georgiev, Marco Capuccini, Salman Toor, Wesley Schaal, Erwin Laure and Ola Spjuth (2018)
- Predicting Off-Target Binding Profiles With Confidence Using Conformal Prediction by Samuel Lampa, Jonathan Alvarsson, Staffan Arvidsson Mc Shane, Arvid Berg, Ernst Ahlberg, Ola Spjuth (2018)
- Maximizing gain in high-throughput screening using conformal prediction by Fredrik Svensson, Avid M. Afzal1, Ulf Norinder and Andreas Bender (2018)
- Conformalized Survival Analysis by Emmanuel Candรจs, Lihua Lei and Zhimei Ren (2021) R-Code ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Random Forest Prediction Intervals by Haozhe Zhangโ , Joshua Zimmermanโ , Dan Nettletonโ and Daniel J. Nordmanโ (Iowa State University, USA, 2019)
- Conformal Training: Learning Optimal Conformal Classifiers | DeepMind by David Stutz (DeepMind), Krishnamurthy Dvijotham, Ali Taylan Cemgil and Arnaud Doucet (2021)
- Comparing the Bayes and typicalness frameworks by Thomas Melluish, Craig Saunders, Ilia Nouretdinov, and Volodya Vovk (Royal Holloway, UK, 2001). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Large-scale probabilistic predictors with and without guarantees of validity by Vladimir Vovk, Ivan Petej, and Valentina Fedorova (Royal Holloway, Yandex, NeurIPS) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Inductive conformal prediction for silent speech recognition by Ming Zhang, You Wang, Wei Zhang, Meng Yang, Zhiyuan Luo and Guang Li (2020)
- Conformal Prediction using Conditional Histograms by Matteo Sesia and Yaniv Romano (NeurIPS 2021 paper). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Valid prediction intervals for regression problems by Nicolas Dewolf, Bernard De Baets, Willem Waegeman (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Application of conformal prediction interval estimations to market makersโ net positions by Wojciech Wisniewski, David Lindsay, Sian Lindsay (Royal Holloway, UK, 2020)
- Locally Valid and Discriminative Prediction Intervals for Deep Learning Models by Zhen Lin, Shubhendu Trivedi, Jimeng Sun (NeurIPS, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Distribution-Free Federated Learning with Conformal Predictions by Charles Lu and Jayashree Kalpathy-Cramer (2022)
- Coreset-based Conformal Prediction for Large-scale Learning by Nery Riquelme-Granada, Khuong Nguyen, Zhiyuan Luo (Royal Holloway, UK, 2019)
- Fast probabilistic prediction for kernel SVM via enclosing balls by Nery Riquelme-Granada, Khuong Nguyen, Zhiyuan Luo (Royal Holloway, UK, 2020)
- Conformalized density- and distance-based anomaly detection in time-series data by Evgeny Burnaev, Vladislav Ishimtsev (2016)
- Predictive Inference with Weak Supervision by Maxime Cauchois, Suyash Gupta, Alnur Ali and John Duchi (Stanford, 2022)
- Conformal Prediction in Clinical Medical Sciences by Janette Vazquez and Julio C. Facelli University of Utah, 2022)
- Provably Improving Expert Predictions with Conformal Prediction by Eleni Straitouri, Lequng Wang, Nastaran Okati and Manuel Gomez Rodriguez (Max Planck Institute for Software Systems / Cornell University, 2021).
- Conformal predictive distributions with kernels by Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman (Royal Holloway, UK, 2017)
- Multi-class probabilistic classification using inductive and cross VennโAbers predictors by Valery Manokhin (Royal Holloway, UK, 2017). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Computationally efficient versions of conformal predictive distributions by Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman (Royal Holloway, UK, 2019).
- Cover your cough: detection of respiratory events with confidence using a smartwatch by Khuong An Nguyen, Zhiyuan Luo (Royal Holloway, 2019).
- Predicting Amazon customer reviews with deep confidence using deep learning and conformal prediction by Ulf Norinder and Petra Norinder (2022)
- Conformal Prediction for the Design Problem by Clara Fannjianga, Stephen Batesa, Anastasios Angelopoulosa, Jennifer Listgartena and Michael I. Jordan (Berkeley, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging by Anastasios N. Angelopoulos, Amit Kohli, Stephen Bates, Michael I. Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano (Berkeley and Technion, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal predictive decision making by Vladimir Vovk and Claus Bendtsen (2018).
- The Lifecycle of a Statistical Model: Model Failure Detection, Identification, and Refitting by Alnur Ali1, Maxime Cauchois and John C. Duchi (Stanford, 2022)
- E-values: Calibration, combination, and applications by Vladimir Vovk (Royal Holloway) and Ruodu Wang (University of Waterloo) (2019)
- Conformal Prediction Sets with Limited False Positives by Adam Fisch, Tal Schuster, Tommi Jaakkola and Regina Barzilay (MIT / Google Research, 2022)
- Adaptive Conformal Predictions for Time Series by Margaux Zaffran, Aymeric Dieuleveut, Olivier Fe ฬron, Yannig Goude, and Julie Josse (EDF / INRIA / CMAP, France, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ Code
- Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting by Vilde Jensen, Filippo Maria Bianchi, Stian Norman Anfinsen (Arctic University of Norway, 2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ Python Code
- Prediction of Metabolic Transformations using Cross Venn-ABERS Predictors by Staffan Arvidsson, Ola Spjuth, Lars Carlsson and Paolo Toccaceli (University of Uppsala, Astra Zeneca, Royal Holloway, 2017)
- Probabilistic Prediction in scikit-learn by Sweidan, Dirar and Ulf Johansson. ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformalized Online Learning: Online Calibration Without a Holdout Set by Shai Feldman, Stephen Bates and Yaniv Romano (2022). TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Valid model-free spatial prediction by Huiying Mao, Ryan Martin and Brian J Reich (2020)
- Conformal Prediction with Temporal Quantile Adjustments by Zhen Lin, Shubhendu Trivedi, Jimeng Sun (2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Calibration of Natural Language Understanding Models with VennโABERS Predictors by Patrizio Giovannotti (Royal Holloway, UK, 2022) NLP
- Conformal prediction interval for dynamic time-series by Chen Xu, Yao Xie (Georgia Tech, 2021) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal prediction set for time-series by Chen Xu, Yao Xie (Georgia Tech, 2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Adaptive Conformal Predictions for Time Series by Margaux Zaffran, Aymeric Dieuleveut, Olivier Fe ฬron, Yannig Goude, and Julie Josse (2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅCode
- Conformal Time-Series Forecasting by Kamile Stankeviciu te and Ahmed M. Alaa (2021) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Efficient Conformal Prediction via cascaded inference with expanded admission by Adam Fisch, Tal Schuster, Tommi Jaakkola, Regina Barzilay (MIT 2021]. Python Code
- Split Localized Conformal Prediction by Xing Han, Ziyang Tang, Joydeep Ghosh, Qiang Liu (University of Texas, 2022). Python Code
- Three Applications of Conformal Prediction for Rating Breast Density in Mammography by Charles Lu, Ken Chang, Praveer Singh, Jayashree Kalpathy-Crame (2022)
- Conformal prediction set for time-series by Chen Xu, Yao Xie (Georgia Tech, 2022) Python Code TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Recommendation systems with distribution-free reliability guarantees) by Anastasious Angelopolous, Karl Krauth, Stephen Bates, Yixin Wang and Michael I. Jordan (Berkeley 2022)
- Model Agnostic Conformal Hyperparameter Optimization by Riccardo Doyle (Spotify, 2022)
- Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets by Charles Lu, Anastasios N. Angelopoulos, Stuart Pomerantz (2022)
- Conformal Off-Policy Prediction in Contextual Bandits by Muhammad Faaiz Taufiq, Jean-Franรงois Ton, Rob Cornish, Yee Whye Teh, Arnaud Doucet (Oxford, 2022) Video presentation
- Training Uncertainty-Aware Classifiers with Conformalized Deep Learning by Bat-Sheva Einbinder, Yaniv Romano, Matteo Sesia, Yanfei Zhou (Technion, USCLA 2022) Video presentation; Code
- Semantic uncertainty intervals for disentangled latent space by Swami Sankaranarayanan, Anastasios N. Angelopoulos, Stephen Bates, Yaniv Romano, and Phillip Isola (Unversity of Berkeley, Technion, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- MAPIE: an open-source library for distribution-free uncertainty quantification by Vianney Taquet, Vincent Blot, Thomas Morzadec, Louis Lacombe, Nicolas Brunel (Quantmetry, France, 2022)
- CODiT: Conformal Out-of-Distribution Detection in Time- Series Data by Ramneet Kaur et.al., Unibersity of Pensylvania (2022). Code TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Confident Adaptive Language Modeling by Tal Schuster, Adam Fisch, Jai Gupta, Mostafa Dehghani, Dara Bahri, Vinh Q. Tran, Yi Tay, Donald Metzler (Google, MIT, 2022j
- Probabilistic Conformal Prediction Using Conditional Random Samples by Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei (Columbia University, 2020) Code
- A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting by Martim Sousa, Ana Maria Tome and Jose Moreira (University of Aveiro, 2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- A novel Deep Learning approach for one-step Conformal Prediction approximation by Julia A. Meister, Khuong An Nguyen, Stelios Kapetanakis and Zhiyuan Luo (University of Brighton, UK, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Risk Control by Anastasious Angelopolous, Stephen Bates, Adam Fisch, Lihua Lei and Tal Schuster (Berkeley, Stanford, MIT and Google Research, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- CD-split and HPD-split: Efficient Conformal Regions in High Dimensions by Rafael Izbicki, Gilson Shimizu, Rafael B. Stern (San Carlos University Brazil, 2022)
- Flexible distribution-free conditional predictive bands using density estimators by Rafael Izbicki, Gilson Shimizu, and Rafael B. Stern (San Carlos University Brazil, 2020)
- Split Conformal Prediction for Dependent Data by Roberto I. Oliveira, Paulo Orenstein, Thiago Ramos, Joรฃo Vitor Romano (IMPA, Rio de Janeiro, Brazil, 2022)
- Conformal Inference for Online Prediction with Arbitrary Distribution Shifts by Isaac Gibbs and Emmanual Candes (Stanford, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- A General Framework For Multi-step Ahead Adaptive Conformal Heteroscedastic Time Series Forecasting by Martim Sousa, Ana Maria Tomรฉ, University of Aveiro (2022) Code TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Cough-based COVID-19 detection with audio quality clustering and confidence measure based learning by Alice E. Ashby, Julia A. Meister, Khuong An Nguyen, Zhiyuan Luo, Werner Gentzk (University of Brighton, 2022)
- Assessing Explanation Quality by Venn Prediction by Amr Alkhatib, Henrik Bostroem and Ulf Johansson (2022)
- Conformal prediction for hypersonic flight vehicle classification by Zepu Xi, Xuebin Zhuang, Hongbo Chen (Yat-sen University, Guangzhou, China, 2022) Slides
- Robust Gas Demand Forecasting With Conformal Prediction by Mouhcine Mendil, Luca Mossina, Marc Nabhan, Kevin Pasini (2022)
- Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets by Christopher Kath and Florian Ziel (2020)
- Conformal Prediciton beyond exchangeability by Rina Foygel Barber, Emmanuel J. Candes, Aaditya Ramdas, Ryan J. Tibshirani (2022)
- Robust Gas Demand Forecasting with Conformal Prediction by Mouhcine Mendil, Luca Mossina, Marc Nabhan, Kevin Pasini (2022)
- Split conformal prediction for dependant data by Roberto I. Oliveira, Paulo Orenstein, Thiago Ramos and Joรฃo Vitor Romano (2022)
- Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers by Ziyi Liang, Matteo Sesia, Wenguang Sun (UCLA, 2022)
- Conformal Prediction Bands for Two-Dimensional Functional Time Series by Niccolo` Ajroldia, Jacopo Diquigiovannib, Matteo Fontanac, Simone Vantinia (2022)
- Conformal prediction of small-molecule drug resistance in cancer cell lines by Saiveth Hernandez-Hernandez, Sachin Vishwakarma and Pedro Ballester (2022)
- Ellipsoidal conformal inference for Multi-Target Regression by Soundouss Messoudi, Sebastien Destercke, Sylvain Rousseau (2022) Slides
- Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey by Sophia Sun (UCLA, 2022)
- [Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images(https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9103229) by Hรฅkan Wieslander , Philip J. Harrison, Gabriel Skogberg, Sonya Jackson, Markus Fridรฉn, Johan Karlsson, Ola Spjuth, and Carolina Wรคhlby (2021)
- Audioโvisual domain adaptation using conditional semi-supervised Generative Adversarial Networks by Christos Athanasiadis, Enrique Hortal, Stylianos Asteriadis (2022)
- Conformal Prediction is Robust to Label Noise by Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano (2022)
- Copula Conformal Prediction for Multi-step Time Series Forecasting TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Batch Multivalid Conformal Prediction by Christopher Jung, Georgy Noarov, Ramya Ramalingam, Aaron Roth (Stanford, university of Pensylvania, 2022)
- Selection by Prediction with Conformal p-values by Ying Jin1 and Emmanuel J. Candes, (Stanford, 2022]
- Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction by Sangwoo Park, Kfir M. Cohen, Osvaldo Simeone (2022)
- Conformalized Fairness via Quantile Regression by Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang (University of Alberta, Noah Arc Huawei, 2022)
- Test-time recalibration of conformal predictors under distribution shift based on unlabeled examples by Fatih Furkan Yilmaz, and Reinhard Heckel (Rice University / University of Munuch, 2022)
- Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains by Buddhika Nettasinghe, Samrat Chatterjee, Ramakrishna Tipireddy, Mahantesh Halappanavar (2022)
- Predictive inference with feature conformal prediction (2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods by Alex Contarino, Christine Schubert Kabban, Chancellor Johnstone and Fairul Mohd-Zaid (2022)
- Spatio-Temporal Wildfire Prediction using Multi-Modal Data by Chen Xu1, Yao Xie, Daniel A. Zuniga Vazquez, Rui Yao, and Feng Qiu (2022)
- Calibrating AI models for few-shot demodulation via conformal prediction Kfir M. Cohen1, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai (2022)
- Test-time recalibration of conformal predictors under distribution shift based on unlabeled examples Code
- Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction by Wenlu Tang, Guohao Shen, Yuanyuan Lin and Jian Huang (The Hong Kong Polytechnic University, 2022)
- Safe Planning in Dynamic Environments using Conformal Prediction by Lars Lindemann, Matthew Cleavelandโ, Gihyun Shim, and George J. Pappas (University of Pensylvania, 2022)
- Conformal prediction under feedback covariate shift for biomolecular design by Clara Fannjiang, Stephen Bates, Anastasios N. Angelopoulos,and Michael I. Jordan (2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Predictor for Improving Zero-shot Text Classification Efficiency by Prafulla Kumar Choubey, Yu Bai, Chien-Sheng Wu, Wenhao Liu, Nazneen Rajani (Saleforce AI Research and Hugging Face, 2022)
- Bayesian Optimization with Conformal Coverage Guarantees by Samuel Stanton, Wesley Maddox and Andrew Gordon Wilson (Genentech, New York University, 2022) Code ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability by Ibai Lanaa, Ignacio (In ฬaki) Olabarrietaa, Javier Del Sera (2022)
- Training Uncertainty-Aware Classifiers with Conformalized Deep Learning by Bat-Sheva Einbinder, Yaniv Romano, Matteo Sesia and Yanfei Zhou (Technion/UCLA, NeurIPS 2022 paper) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformalized Fairness via Quantile Regression by Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang (University of Alberta, Huawei Noahโs Ark Lab Canada, NeurIPS 2022 paper) Code ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Engineering Uncertainty Representations to Monitor Distribution Shifts by Thomas Bonnier and Benjamin Bosch (Sociรฉtรฉ Gรฉnรฉrale, 2022)
- CONffusion: CONFIDENCE INTERVALS FOR DIFFUSION MODELS ProjectCode by Eliahu Horwitz, Yedid Hoshen (Hebrew University of Jerusalem, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Semantic uncertainty intervals for disentangled latent spaces by Swami Sankaranarayanan, Anastasios N. Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola (MIT, Berkeley, Technion, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- But are you sure? An uncertainty-aware perspective on explainable AI by Charlie Marx, Youngsuk Park, Hilaf Hasson, Yuyang (Bernie) Wang, Stefano Ermon, Jun Huan (2022)
- Calibrating AI Models for Wireless Communications via Conformal Prediction by Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone and Shlomo Shamai (2022)
- Predicting Endocrine Disruption Using Conformal Prediction โ Aย Prioritization Strategy to Identify Hazardous Chemicals with Confidence by Maria Sapounidou, Ulf Norinder and Patrick Andersson (2022)
- Conformal Loss-Controlling Prediction by Di Wang, Ping Wang, Zhong Ji, Xiaojun Yang, Hongyue Li (2023)
- ROBUST AND SCALABLE UNCERTAINTY ESTIMATION WITH CONFORMAL PREDICTION FOR MACHINE-LEARNED INTERATOMIC POTENTIALS Code by Yuge Hu, Joseph Musielewicz, Zachary Ulissi, Andrew J. Medford (Georgia Institute of Technology/Carnegie Mellon University, 2022)
- Clustering of Trajectories using Non-Parametric Conformal DBSCAN Algorithm by Haotian Wang, Jie Gao, Min-ge Xie Rutgers University, 2022)
- But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI by Charlie Marx, Youngsuk Park, Hilaf Hasson, Yuyang Wang, Stefano Ermon, Jun Huan (2022)
- Prediction-Powered Inference by Anastasios N. Angelopoulos, Stephen Bates, Clara Fannjiang, Michael I. Jordan, Tijana Zrnic (Universify of Berkeley, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction for Trustworthy Detection of Railway Signals by Leo Andeol, Thomas Fel, Florence de Grancey, Luca Mossina (Institute de Mathematiques de Toulouse, SCNF, 2022)
- Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic Processes by Francesca Cairoli, Nicola Paoletti, Luca Bortolussi (University of Trieste/King's College London, 2022)
- Adaptive Conformal Prediction for Motion Planning among Dynamic Agents by Anushri Dixit, Lars Lindemann, Skylar Wei, Matthew Cleaveland, George J Pappas, Joel W Burdick (California Institute of Technology/University of Pennsylvania, 2022)
- Conformal prediction for STL runtime verification by Lars Lindemann, Xin Qin, Jyotirmoy V. Deshmukh, George J. Pappas (University of Pennsylvania/University of Southern California, 2022)
- Conformal prediction interval for dynamic time-series by Chen Xu, Yao Xie (Georgia Tech, 2021) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ Python Code Video Video ICML2021
- Conformal prediction set for time-series by Chen Xu, Yao Xie (Georgia Tech, 2022) Python Code TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Time-Series Forecasting by Kamile Stankeviciu te and Ahmed M. Alaa (2021) Video NeurIPS2021 Video TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting by Vilde Jensen, Filippo Maria Bianchi, Stian Norman Anfinsen (2022). TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Adaptive Conformal Predictions for Time Series by Margaux Zaffran, Aymeric Dieuleveut, Olivier Fe ฬron, Yannig Goude, and Julie Josse (2022) Python Code TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ Video
- Conformalized Online Learning: Online Calibration Without a Holdout Set by Shai Feldman, Stephen Bates and Yaniv Romano (2022). TIME SERIES ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ Code
- Conformal Prediction with Temporal Quantile Adjustments by Zhen Lin, Shubhendu Trivedi, Jimeng Sun (2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Exact and Robust Conformal Inference Methods for Predictive Machine Learning with Dependent Data by Victor Chernozhukov (MIT), Kaspar Wuethrich (University of California, San Diego) and Yinchu Zhu (University of Oregon) (2018) Video
- Distributional Conformal Prediction by Chernozhukov (MIT), Kaspar Wuethrich (University of California, San Diego) and Yinchu Zhu (University of Oregon) (2022)
- Distribution-Free Prediction Bands for Multivariate Functional Time Series: an Application to the Italian Gas Market by Jacopo Diquigiovanni (University of Padua) Matteo Fontana (Joint Research Centre - European Commission) Simone Vantini (Politecnico di Milano) (2021)
- CODiT: Conformal Out-of-Distribution Detection in Time- Series Data by Ramneet Kaur et.al., Unibersity of Pensylvania (2022). Code TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- A General Framework For Multi-step Ahead Adaptive Conformal Heteroscedastic Time Series Forecasting by Martim Sousa, Ana Maria Tomรฉ, University of Aveiro (2022) Code TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets by Christopher Kath and Florian Ziel (2020)
- Robust Gas Demand Forecasting With Conformal Prediction by Mouhcine Mendil, Luca Mossina, Marc Nabhan, Kevin Pasini (2022)
- Conformal Prediction Bands for Two-Dimensional Functional Time Series by Niccolo` Ajroldia, Jacopo Diquigiovannib, Matteo Fontanac, Simone Vantinia (2022)
- Copula Conformal Prediction for Multi-step Time Series Forecasting TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- [Conformal prediction set for time-series](Conformal prediction set for time-series)by Chen Xu, Yao Xie (Georgia Tech, 2022) Code
- Machine Learning for Probabilistic Prediction by Valery Manokhin, 2022
- Adaptive Conformal Anomaly Detection for Time-series by Evgeny Burnaev, Alexander Bernstein, Vlad Ishimtsev and Ivan Nazarov (Skoltech, Moscow, Russia, 2017)
- Nonparametric predictive distributions based on conformal prediction by Vladimir Vovk, Jieli Shen, Valery Manokhin, Min-ge Xie, Ilia Nouretdinov and Alex Gammerman (Royal Holloway, University of London Rutgers University, 2017)
- What Can Conformal Inference Offer to Statistics? by Lihua Lei, Stanford University
- Conformal Regressors and Predictive Systems โ a Gentle Introduction by Henrik Bostroem (KTH, Sweden, 2022)
- Applications of Conformal Predictors by Ernst Ahlberg and Lars Carlsson (Stena Line, 2022)
- crepes: a Python Package for Conformal Regressors and Predictive Systems by Henrik Bostroem (KTH, Sweden, 2022)
- Assessing Explanation Quality by Venn Prediction by Amr Alkhatib, Henrik Bostrรถm and Ulf Johansson (2022)
- Well-Calibrated Rule Extractors by Ulf Johansson, Tuwe Lรถfstrรถm, Niclas Stรฅhl (2022)
- [Calibration of Natural Language Understanding Models with Venn-ABERS Predictors](Calibration of Natural Language Understanding Models with Venn-ABERS Predictors](https://copa-conference.com/presentations/patrizio.pdf) by Patrizio Giovannotti (2022)
- Reinforcement Learning Prediction Intervals with Guaranteed Fidelity by Thomas Dietterich (University of Oregon, 2022)
- Conformal Prediction beyond exchangeability by Rina Foygel Barber (University of Chicago, 2022)
- Split conformal prediction for dependant data by Roberto I. Oliveira, Paulo Orenstein, Thiago Ramos and Joรฃo Vitor Romano (2022)
- Conformal prediction of small-molecule drug resistance in cancer cell lines by Saiveth Hernandez-Hernandez, Sachin Vishwakarma and Pedro Ballester
- Sequential Predictive Conformal Inference for Time Series by Chen Xu, Yao Xie (Georgia Tech, 2022)
- Copula Conformal Prediction for Multi-step Time Series Forecasting by Sophia Sun, Rose Yu (University of California, San Diego, 2022)
- Uncertainty estimation in NLP by Tal Schuster, Adam Fisch (MIT, 2022)
- Conformal Prediction: an Introduction by Leo Andeol (2022)
- Vladimir Vovk, Royal Holloway, United Kingdom
- Alexander Gammerman, Royal Holloway, United Kingdom
- Glenn Shafer, Rutgers University, USA
- Emmanuel Candรจs, Stanford, USA
- Ryan Tibshiriani, Carnegie Mellon, USA
- Yaniv Romano, TechnionโIsrael Institute of Technology
- Michael I. Jordan, Berkeley, USA
- Jitendra Malik, Berkeley, USA
- Anastasios Angelopoulos, Berkeley, USA
- Lihua Lei, Stanford, USA
- Henrik Bostrรถm, KTH, Sweden
- Ulf Johansson, Jรถnkรถping University, Sweden
- Henrik Linusson, University of Borรฅs, Sweden
- Harris Papadopoulos, Frederick University, Cyprus
- Vladimir V'yugin, Institute for Information Transmission Problems (IITP), Russia
- Evgeny Burnaev, Skoltech, Russia
- Aaditya Ramdas, Carnegie Mellon, USA
- Benjamin LeRoy, Carnegie Mellon, USA
- Victor Chernozhukov, MIT, USA
- Ulf Norinder, Stockholm University, Sweden
- Ola Spjuth, Uppsala University, Sweden
- Ilia Nouretdinov, Royal Holloway, United Kingdom
- Matteo Fontana, Joint Research Centre - European Commission
- Yao Xie, Georgia Institute of Technology
- Zhimeo Ren, University of Chicago
- Rafael Izbicki, Federal University of Sรฃo Carlos (UFSCar) Brazil
- Rina Foygel Barber University of Chicago
- Measuring Models' Uncertainty: Conformal Prediction by Leo Dreyfus-Schmidt (Dataiku, 2020). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction for Neural Regression Model by Pranab Ghosh (2021). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- How to Handle Uncertainty in Forecasts by Michael Berk (2021)
- How to Add Uncertainty Estimation to your Models with Conformal Prediction by Zachary Warnes (2021)
- nonconformist: An easy way to estimate prediction intervals by Maria Jesus Ugarte (2021).
- Detecting Weird Data: Conformal Anomaly Detection by Matthew Burruss (2020).
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You by Samuele Mazzanti (2022). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- With MAPIE, uncertainties are back in machine learning by Vianney Taquet (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression by Samuele Mazzanti (2022). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Stanford statisticians and Washington Post data scientists build more honest prediction models Stanford (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- How to Detect Anomalies โ state-of-the-art methods using Conformal Prediction by Valery Manokhin (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- How to calibrate your classifier in an intelligent way by Valery Manokhin (2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction forecasting with MAPIE by Valery Manokhin (2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- How to predict full probability distribution using machine learning Conformal Predictive Distributions by Valery Manokhin (2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- How to predict quantiles in a more intelligent way (or โBye-bye quantile regression, hello Conformal Quantile Regression by Valery Manokhin (2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction in Julia, Part I - Introduction by Patrick Altmeyer (2022)
- Getting predictions intervals with conformal inference by Rajiv Shah (2022)
- How to Conformalize a Deep Image Classifier by Patrick Altmeyer (2022)
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need by Marco Cerliani (2022)
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier by Patrick Altmeyer (2022)
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model by Patrick Altmeyer (2022)
- Probabilistic Forecasting with Conformal Prediction and NeuralProphet by Valery Manokhin (2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need by Marco Cerliani (2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TQA: Creating Valid Prediction Intervals for Cross-sectional Time Series Regression by Zhen Lin (UIUC, NeurIPSโ22 paper) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction: A Critic to Predictive Models (2023)
- Multi-horizon Probabilistic Forecasting with Conformal Prediction and NeuralProphet by Valery Manokhin TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Kaggle Notebook showcasing Conformal Predictive Distributions on Playground Series Season 3, Episode 1 (California Housing data) competition by Valeriy Manokhin (2022)
- Kaggle Notebook showcasing Venn-ABERs Conformal Prediction on Playground Series Season 3, Episode 2 (Stroke prediction) competition
- Regression prediction intervals with MAPIE by Carl McBride Ellis (2022)
- Main website with research from Prof. Vladimir (Volodya) Vovk ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction - Prediction with guaranteed performance Royal Holloway, United Kingdom
- A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification by Anastasios N. Angelopoulos ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Reliable Predictive Inference by Yaniv Romano ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Title: What Can Conformal Inference Offer to Statistics? by Lihua Lei, Stanford, 2022
- Conformalized survival analysis by Lihua Lei, Stanford, 2021
- Conformal Risk Control by Anastasious Angelopolous, Berkeley, 2022
- Stable Conformal Prediction Sets by Eugene Ndiaye (Georgia Tech, 2022)
- Machine learning sucks at uncertainty quantification. But there is a solution that almost sounds too good to be true: conformal prediction by Cristoph Molnar (2022).
- How to correctly, yet efficiently model the uncertainty on predictions by Nico Wolf (2022)
- Top 10 Github libraries for Conformal Prediction by Valeriy Manokhin (2022)
- Getting prediction intervals with conformal prediction by Rajiv Shah (Hugging Face,2022)
- Why you want prediction intervals instead of point predictions by Rajiv Shah (Hugging Face,2022)
- Itโs important to make sure your model is well calibrated by Rajiv Shah (Hugging Face,2022)
- 11th Symposium on Conformal and Probabilistic Prediction with Applications ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- IFDS Workshop on Conformal Prediction ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Workshop on Distribution-Free Uncertainty Quantification at ICML 2022 ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Workshop on Distribution-Free Uncertainty Quantification at ICML 2021๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- 10th Symposium on Conformal and Probabilistic Prediction with Applications ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- 9th Symposium on Conformal and Probabilistic Prediction with Applications ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- 8th Symposium on Conformal and Probabilistic Prediction with Applications ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- 7th Symposium on Conformal and Probabilistic Prediction with Applications ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- 6th Symposium on Conformal and Probabilistic Prediction with Applications ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- MAPIE - Model Agnostic Prediction Interval Estimator by Quantmetry team (2021) Paper Includes TIME SERIES (EnbPI) ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- 'Crรชpes' - Conformal regressors and predictive systems by Henrik Bostrรถm (2021) Paper ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ Presentation by Henrik Bostroem (KTH, Sweden, 2022)
- EnbPI by Chen Xu (2021) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ Paper
- Nonconformist by Henrik Linusson (2015) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Venn-ABERS Predictor by Paolo Toccaceli (2019) Paper ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformalized Quantile Regression by Yaniv Romano (2019) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Classification by Anastasios N. Angelopoulos (2021)
- Orange3 Conformal Prediction
- Conformal: an R package to calculate prediction errors in the conformal prediction framework by Isidro Cortes, 2019
- Uncertainty Toolbox by Youngseog Chung, Willie Neiswanger, Ian Char and Han Guo (2021)
- TorchUQ is an extensive library for uncertainty quantification (UQ) based on pytorch (2022)
- Multi-class-probabilistic-classification using Venn-ABERS (Conformal) prediction by Valery Manokhin (Royal Holloway, 2022)
- Copula Conformal Multi Target Regression by Soundouss Messoudi (2021)
- Uncertainty Toolbox by Youngseog Chung, Willie Neiswanger, Ian Char and Han Guo (2021)
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems by Mateo Sesia and Yaniv Romano (NeurIPS 2021). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformalized density- and distance-based anomaly detection in time-series data (KNN-CAD) by Evgeny Burnaev, Vladislav Ishimtsev (2016). Top #3 winning solution in Numenta competition ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal time-series forecasting by Kamile ฬ Stankeviciute (Cambridge, NeurIPS 2021) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Valid Prediction Intervals by Nicolas Dewolf, Bernard DeBaets, Willem Waegeman (2022) ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Adaptive Conformal Predictions for Time Series by Margaux Zaffran, Aymeric Dieuleveut, Olivier Fe ฬron, Yannig Goude, and Julie Josse (2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ Video Code
- Conformal learning from scratch by Marharyta Aleksandrova (2021)
- Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting Vilde Jensen, Filippo Maria Bianchi and Stian Norman Anfinsen (2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformalized Online Learning: Online Calibration Without a Holdout Set by Shai Feldman, Stephen Bates and Yaniv Romano (2022). TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- PySloth - Python package for Probabilistic Prediction by Valery Manokhin ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction in KNIME
- Nonconformist by Henrik Linusson (2015) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- SKTime by Franz Kiraly (2022)
- NeuralProphet (2022)
- River 2022
- TorchUQ (2022)
- AWS Fortuna by Amazon, (2022)
- Conformal Inference R Project maintained by Ryan Tibshirani (2016) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Prediction Bands by Rafael Izbicki and Benjamin LeRoy (2019)
- Conformal: an R package to calculate prediction errors in the conformal prediction framework by Isidro Cortes, 2019
- Online Time Series Anomaly Detectors by Alaine Iturria, 2021 ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- piRF - Prediction Intervals for Random Forests by Chancellor Johnstone and Haozhe Zhang (2019)
- conformalClassification: Transductive and Inductive Conformal Predictions for Classification Problems by Niharika Gauraha and Ola Spjuth (2019)
- R Package for Spatial Conformal Prediction
- [conformalInference.multi: Conformal Inference Tools for Regression with Multivariate Response](conformalInference.multi: Conformal Inference Tools for Regression with Multivariate Response](https://cran.r-project.org/web/packages/conformalInference.multi/index.html) by Jacopo Diquigiovanni, Matteo Fontana, Aldo Solari, Simone Vantini, Paolo Vergottini, Ryan Tibshirani (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal: an R package to calculate prediction errors in the conformal prediction framework by Isidro Cortes, 2019
- cfsurvival - An R package that implements the conformalized survival analysis methodology Paper
- ClusTorus: An R Package for Prediction and Clustering on the Torus by Conformal Prediction by by Seungki Hong and Sungkyu Jung (2022)
- ConformalPrediction.jl by Patrick Altmeyer (2022) Article - Conformal Prediction in Julia, Part I - Introduction Article - Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier Article - Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- RandomForest by Henrik Bostrรถm (2017) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- LibCP -- A Library for Conformal Prediction ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- An Implementation of Venn-ABERS predictor ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- LibVM -- A Library for Venn Machine
- Scala-CP by Marco Capuccini (2017)' ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ (see tutorial section 'Conformal Prediction in Spark')
- Conformal Prediction in Knime Presentation ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Data Robot
- AWS Fortuna by Amazon, (2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Microsoft Azure
- Rahul Vishwakarma, Method and system for reliably forecasting storage disk failure. US 2021/0034450 A1 United States Patent and Trademark Office, Feb 2021
- Rahul Vishwakarma, Analyzing Time Series Data for Sets of Devices Using Machine Learning Techniques. US 2021/0241929 A1 United States Patent and Trademark Office, Aug 2021
- Rahul Vishwakarma, System and method for prioritizing and preventing backup failures. US 2021/0374568 A1 United States Patent and Trademark Office, Dec 2021