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Optimization in Machine Learning: A Distribution Space Approach., , and . CoRR, (2020)Collaborative Inference for Efficient Remote Monitoring., , , , and . CoRR, (2020)Adversarial Invariant Learning., , , , , , , and . CVPR, page 12446-12454. Computer Vision Foundation / IEEE, (2021)Approximation Theory of Convolutional Architectures for Time Series Modelling., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 4961-4970. PMLR, (2021)On the approximation properties of recurrent encoder-decoder architectures., , and . ICLR, OpenReview.net, (2022)Self-Healing Robust Neural Networks via Closed-Loop Control., , and . J. Mach. Learn. Res., (2022)An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks., and . ICML, volume 80 of Proceedings of Machine Learning Research, page 2991-3000. PMLR, (2018)Decentralized Optimization with Edge Sampling., , and . IJCAI, page 658-664. ijcai.org, (2019)A Quantitative Analysis of the Effect of Batch Normalization on Gradient Descent., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 882-890. PMLR, (2019)Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks., and . GSI (2), volume 14072 of Lecture Notes in Computer Science, page 342-350. Springer, (2021)