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Exponentially vanishing sub-optimal local minima in multilayer neural networks., and . ICLR (Workshop), OpenReview.net, (2018)Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability., , and . AAAI, page 8423-8431. AAAI Press, (2022)Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling., , , , and . NeurIPS, page 1378-1389. (2021)Accurate Post Training Quantization With Small Calibration Sets., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 4466-4475. PMLR, (2021)Convergence of Gradient Descent on Separable Data., , , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 3420-3428. PMLR, (2019)Characterizing Implicit Bias in Terms of Optimization Geometry., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1827-1836. PMLR, (2018)The Implicit Bias of Gradient Descent on Separable Data., , , and . ICLR (Poster), OpenReview.net, (2018)Bayesian Gradient Descent: Online Variational Bayes Learning with Increased Robustness to Catastrophic Forgetting and Weight Pruning, , , and . (2018)cite arxiv:1803.10123.A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case., , , and . ICLR, OpenReview.net, (2020)How do Minimum-Norm Shallow Denoisers Look in Function Space?, , , , and . CoRR, (2023)