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Deterministic Variational Inference for Robust Bayesian Neural Networks

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

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The Mirage of Action-Dependent Baselines in Reinforcement Learning., , , , , and . ICLR (Workshop), OpenReview.net, (2018)Deterministic Variational Inference for Robust Bayesian Neural Networks., , , , , and . ICLR, OpenReview.net, (2019)Deep Gaussian Processes for Regression using Approximate Expectation Propagation, , , , and . (2016)cite arxiv:1602.04133.The Multivariate Generalised von Mises Distribution: Inference and Applications., , and . AAAI, page 2394-2400. AAAI Press, (2017)Modeling Natural Sounds with Modulation Cascade Processes., and . NIPS, page 1545-1552. Curran Associates, Inc., (2007)Probabilistic amplitude and frequency demodulation., and . NIPS, page 981-989. (2011)Practical Deep Learning with Bayesian Principles., , , , , , and . NeurIPS, page 4289-4301. (2019)Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners., , and . ICBINB, volume 187 of Proceedings of Machine Learning Research, page 27-40. PMLR, (2022)Identifiable Feature Learning for Spatial Data with Nonlinear ICA., , , and . CoRR, (2023)Combining pseudo-point and state space approximations for sum-separable Gaussian Processes., , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 1607-1617. AUAI Press, (2021)