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Making the Last Iterate of SGD Information Theoretically Optimal., , и . COLT, том 99 из Proceedings of Machine Learning Research, стр. 1752-1755. PMLR, (2019)Learning the graph of epidemic cascades., и . SIGMETRICS, стр. 211-222. ACM, (2012)Online Non-Convex Learning: Following the Perturbed Leader is Optimal., и . CoRR, (2019)Simplicity Bias in 1-Hidden Layer Neural Networks., , , и . CoRR, (2023)P-SIF: Document Embeddings Using Partition Averaging., , , , , и . AAAI, стр. 7863-7870. AAAI Press, (2020)Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness., , , и . NeurIPS, стр. 29874-29884. (2021)Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems., , , и . NeurIPS, стр. 8518-8531. (2021)Focus on the Common Good: Group Distributional Robustness Follows., , и . ICLR, OpenReview.net, (2022)What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?, , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 4880-4889. PMLR, (2020)No Quantum Speedup over Gradient Descent for Non-Smooth Convex Optimization., , , и . ITCS, том 185 из LIPIcs, стр. 53:1-53:20. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2021)