JonathanWenger/approximateinference.github.io
Workshop on Advances in Approximate Bayesian Inference (AABI)
Postdoc at Columbia University
Repositories
JonathanWenger/itergp
IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
JonathanWenger/pycalib
Non-Parametric Calibration for Classification (AISTATS 2020)
JonathanWenger/cartridges
Storing long contexts in tiny caches with self-study
JonathanWenger/compaction
Algorithms for latent compaction
JonathanWenger/inferno
JonathanWenger/probnum
Probabilistic Numerics in Python.
JonathanWenger/JonathanWenger
JonathanWenger/my_website
My personal website.
JonathanWenger/plenoptic
Visualize/test models for visual representation by synthesizing images.
JonathanWenger/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
JonathanWenger/GSM-VI
Code for Gaussian Score Matching Variational Inference
JonathanWenger/NumericsOfML
Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
JonathanWenger/probabilistic-linear-solvers-for-ml
Probabilistic Linear Solvers for Machine Learning (NeurIPS 2020)
JonathanWenger/MCM2021
Talk given at MCM2021.
JonathanWenger/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
JonathanWenger/GPclust
Collapsed Variational Bayes