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Auto-encoders: reconstruction versus compression.. CoRR, (2014)Learning with Random Learning Rates., , and . ECML/PKDD (2), volume 11907 of Lecture Notes in Computer Science, page 449-464. Springer, (2019)Interpreting a Penalty as the Influence of a Bayesian Prior., , and . CoRR, (2020)Do Deep Learning Models Have Too Many Parameters? An Information Theory Viewpoint., and . CoRR, (2018)First-Order Adversarial Vulnerability of Neural Networks and Input Dimension., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5809-5817. PMLR, (2019)Making Deep Q-learning methods robust to time discretization., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 6096-6104. PMLR, (2019)Laplace's Rule of Succession in Information Geometry.. GSI, volume 9389 of Lecture Notes in Computer Science, page 311-319. Springer, (2015)Learning One Representation to Optimize All Rewards., and . NeurIPS, page 13-23. (2021)Can recurrent neural networks warp time?, and . ICLR (Poster), OpenReview.net, (2018)White-box vs Black-box: Bayes Optimal Strategies for Membership Inference., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5558-5567. PMLR, (2019)