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Deterministic Variational Inference for Robust Bayesian Neural Networks

, , , , , and . International Conference on Learning Representations, (2019)

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Cold-start Active Learning with Robust Ordinal Matrix Factorization., , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 766-774. JMLR.org, (2014)Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices., , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 379-387. JMLR.org, (2014)Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 1470-1479. PMLR, (2017)Gaussianity Measures for Detecting the Direction of Causal Time Series., , and . IJCAI, page 1318-1323. IJCAI/AAAI, (2011)Flow Annealed Importance Sampling Bootstrap., , , , and . CoRR, (2022)Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures., , , , and . CoRR, (2020)DRIFT: Deep Reinforcement Learning for Functional Software Testing., , , , , , , , , and 3 other author(s). CoRR, (2020)Fast and Painless Image Reconstruction in Deep Image Prior Subspaces., , , , , and . CoRR, (2023)Diffusive Gibbs Sampling., , , , and . CoRR, (2024)Actively Learning what makes a Discrete Sequence Valid., , and . CoRR, (2017)