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A Rank-1 Sketch for Matrix Multiplicative Weights.

, , , and . COLT, volume 99 of Proceedings of Machine Learning Research, page 589-623. PMLR, (2019)

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Information, Estimation, and Lookahead in the Gaussian channel, , , and . CoRR, (2013)Lower Bounds for Non-Convex Stochastic Optimization., , , , , and . CoRR, (2019)Making SGD Parameter-Free., and . COLT, volume 178 of Proceedings of Machine Learning Research, page 2360-2389. PMLR, (2022)Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization., , , , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 7721-7735. PMLR, (2021)Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time., , , , , , , , , and 1 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 23965-23998. PMLR, (2022)Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds., , , and . ICLR, OpenReview.net, (2023)A Whole New Ball Game: A Primal Accelerated Method for Matrix Games and Minimizing the Maximum of Smooth Functions., , , and . CoRR, (2023)First-Order Methods for Nonconvex Quadratic Minimization., and . SIAM Rev., 62 (2): 395-436 (2020)Acceleration with a Ball Optimization Oracle., , , , , , and . NeurIPS, (2020)Variance Reduction for Matrix Games., , , and . NeurIPS, page 11377-11388. (2019)