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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)Deep Double Descent: Where Bigger Models and More Data Hurt, , , , , and . (2019)cite arxiv:1912.02292Comment: G.K. and Y.B. contributed equally.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)When is Multicalibration Post-Processing Necessary?, , , and . CoRR, (2024)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)Fundamental limits on communication for oblivious updates in storage networks., , and . GLOBECOM, page 2363-2368. IEEE, (2014)