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Computational Limitations in Robust Classification and Win-Win Results.

, , and . COLT, volume 99 of Proceedings of Machine Learning Research, page 994-1028. PMLR, (2019)

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Optimal systematic distributed storage codes with fast encoding., , and . ISIT, page 430-434. IEEE, (2016)Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting., , , , , and . NeurIPS, (2022)Deconstructing Distributions: A Pointwise Framework of Learning., , , , and . ICLR, OpenReview.net, (2023)How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks., , , , , , and . CoRR, (2024)Knowledge Distillation: Bad Models Can Be Good Role Models., , , and . NeurIPS, (2022)Algorithmic Polarization for Hidden Markov Models., , and . ITCS, volume 124 of LIPIcs, page 39:1-39:19. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)Deep Double Descent: Where Bigger Models and More Data Hurt, , , , , and . (2019)cite arxiv:1912.02292Comment: G.K. and Y.B. contributed equally.Loss Minimization Yields Multicalibration for Large Neural Networks., , , , and . ITCS, volume 287 of LIPIcs, page 17:1-17:21. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2024)When is Multicalibration Post-Processing Necessary?, , , and . CoRR, (2024)Distributional Generalization: A New Kind of Generalization, and . (2020)cite arxiv:2009.08092Comment: PN, YB co-first authors.