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Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization., , , , , and . ICLR, OpenReview.net, (2022)Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions., , , , , , and . ICLR, OpenReview.net, (2022)Parallel Deep Neural Networks Have Zero Duality Gap., , and . ICLR, OpenReview.net, (2023)Convex Geometry and Duality of Over-parameterized Neural Networks., and . J. Mach. Learn. Res., (2021)A Library of Mirrors: Deep Neural Nets in Low Dimensions are Convex Lasso Models with Reflection Features., , , , , and . CoRR, (2024)Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms., , , and . ICLR, OpenReview.net, (2021)Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers., , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 19050-19088. PMLR, (2022)Convex Duality of Deep Neural Networks., and . CoRR, (2020)Convex Geometry of Two-Layer ReLU Networks: Implicit Autoencoding and Interpretable Models., and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 4024-4033. PMLR, (2020)Recurrent neural networks based online learning algorithms for distributed systems., , and . SIU, page 1-4. IEEE, (2018)