Topic: acquisition-functions Goto Github
Some thing interesting about acquisition-functions
Some thing interesting about acquisition-functions
acquisition-functions,This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al., AISTATS 2020
Organization: boschresearch
Home Page: http://proceedings.mlr.press/v108/frohlich20a.html
acquisition-functions,Bayesian Optimization using Gaussian Process: Implementation from Scratch.
User: carlosgorlongaiatto
acquisition-functions,ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition
User: gauthamkrishna-g
Home Page: https://arxiv.org/abs/1906.00108
acquisition-functions,Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation
User: georgedeath
acquisition-functions,ϵ-shotgun: ϵ-greedy Batch Bayesian Optimisation
User: georgedeath
acquisition-functions,How Bayesian should Bayesian Optimisation be?
User: georgedeath
acquisition-functions,leADS: improved metabolic pathway inference based on active dataset subsampling
Organization: hallamlab
Home Page: https://github.com/hallamlab/leADS
acquisition-functions,Bayesian Optimisation acquisition functions PI and EI modified under guassian noise assuption at observations
User: huabingwang-stack
acquisition-functions,This code runs Bayesian optimization with the exploration enhanced expected improvement (E3I) acquisition function
User: jmaberk
acquisition-functions,Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively Adapting Pretrained Language Models for Active Learning"
User: mourga
acquisition-functions,Bayesian Optimization for Categorical and Continuous Inputs
User: nphdang
acquisition-functions,An improved version of Turbo algorithm for the Black-box optimization competition organized by NeurIPS 2020
User: nphdang
acquisition-functions,Parallel implementation of novel uncertainty quantification methods
Organization: paralleluq
Home Page: https://puq.readthedocs.io/en/latest/
acquisition-functions,In this project, we focus on different ways to optimize a machine learning model parameters.
User: pouyaardehkhani
acquisition-functions,Bayesian Optimization algorithms with various recent improvements
User: wangronin
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