Author of the publication

Evaluating Approximate Inference in Bayesian Deep Learning.

, , , , , , , , , and . NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 113-124. PMLR, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Towards Robust Evaluations of Continual Learning., and . CoRR, (2018)Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation., , , and . NeurIPS, (2022)Active Testing: Sample-Efficient Model Evaluation., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5753-5763. PMLR, (2021)Do Bayesian Neural Networks Need To Be Fully Stochastic?, , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 7694-7722. PMLR, (2023)Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt., , , , , , , , , and 1 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 15630-15649. PMLR, (2022)Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations., , and . NeurIPS, (2020)Holistic Safety and Responsibility Evaluations of Advanced AI Models., , , , , , , , , and 9 other author(s). CoRR, (2024)Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning., , , , , , , , , and 14 other author(s). CoRR, (2021)Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning., , , , , and . Trans. Mach. Learn. Res., (2023)Discovering Agents., , , , , and . CoRR, (2022)