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Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection

, and . (2019)cite arxiv:1912.05651Comment: 18 pages, extended version with supplementary material.

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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)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)Gaussianity Measures for Detecting the Direction of Causal Time Series., , and . IJCAI, page 1318-1323. IJCAI/AAAI, (2011)'In-Between' Uncertainty in Bayesian Neural Networks, , , and . (2019)cite arxiv:1906.11537Comment: Presented at the ICML 2019 Workshop on Uncertainty and Robustness in Deep Learning.Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters., , and . CoRR, (2018)Actively Learning what makes a Discrete Sequence Valid., , and . CoRR, (2017)Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI., , , , , , , , , and 15 other author(s). CoRR, (2024)Flow Annealed Importance Sampling Bootstrap., , , , and . CoRR, (2022)Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures., , , , and . CoRR, (2020)