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Making the Last Iterate of SGD Information Theoretically Optimal.

, , and . SIAM J. Optim., 31 (2): 1108-1130 (2021)

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Open Problem: Do Good Algorithms Necessarily Query Bad Points?, , , , , and . COLT, volume 99 of Proceedings of Machine Learning Research, page 3190-3193. PMLR, (2019)Making the Last Iterate of SGD Information Theoretically Optimal., , and . SIAM J. Optim., 31 (2): 1108-1130 (2021)Expressivity and Structure in Networks: Ising Models, Random Graphs, and Neural Networks.. Massachusetts Institute of Technology, USA, (2022)Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms., , and . COLT, volume 195 of Proceedings of Machine Learning Research, page 4072-4129. PMLR, (2023)Stein's Method for Stationary Distributions of Markov Chains and Application to Ising Models, and . (2017)cite arxiv:1712.05743.A Law of Robustness for Two-Layers Neural Networks., , and . COLT, volume 134 of Proceedings of Machine Learning Research, page 804-820. PMLR, (2021)Near Optimal Heteroscedastic Regression with Symbiotic Learning., , , and . COLT, volume 195 of Proceedings of Machine Learning Research, page 3696-3757. PMLR, (2023)