Uncertainty in ML

Ensembles of Classifiers: a Bias-Variance Perspective, TMLR 2022
Plex: Towards Reliability using Pretrained Large Model Extensions, arXiv, 2022
Understanding the bias-variance tradeoff of Bregman divergences, arXiv, 2022
Sparse MoEs meet Efficient Ensembles, TMLR 2022
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning, arXiv 2022
Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling, AISTATS, 2021
Distilling Ensembles Improves Uncertainty Estimates, AABI 2020

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