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Estimating Training Data Influence by Tracking Gradient Descent., , , and . CoRR, (2020)Stochastic Negative Mining for Learning with Large Output Spaces., , , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1940-1949. PMLR, (2019)Preface: Conference on Learning Theory (COLT), 2017., and . COLT, volume 65 of Proceedings of Machine Learning Research, page 1-3. PMLR, (2017)Efficient aggregation algorithms for probabilistic data., , and . SODA, page 346-355. SIAM, (2007)Agnostic Learnability of Halfspaces via Logistic Loss., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 10068-10103. PMLR, (2022)Parameter-Free Online Learning via Model Selection., , , and . NIPS, page 6020-6030. (2017)Estimating Training Data Influence by Tracing Gradient Descent., , , and . NeurIPS, (2020)Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria., and . NIPS, page 625-632. Curran Associates, Inc., (2007)Private Matrix Approximation and Geometry of Unitary Orbits., , , , and . COLT, volume 178 of Proceedings of Machine Learning Research, page 3547-3588. PMLR, (2022)Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret without Smoothness Requirements., , , and . ICML, OpenReview.net, (2024)