From post

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

No persons found for author name Nakkiran, Preetum
add a person with the name Nakkiran, Preetum
 

Другие публикации лиц с тем же именем

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