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Matthew Faw
Matthew Faw
Zweryfikowany adres z utexas.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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The power of adaptivity in sgd: Self-tuning step sizes with unbounded gradients and affine variance
M Faw, I Tziotis, C Caramanis, A Mokhtari, S Shakkottai, R Ward
Conference on Learning Theory, 313-355, 2022
432022
Single-sample prophet inequalities via greedy-ordered selection
C Caramanis, P Dütting, M Faw, F Fusco, P Lazos, S Leonardi, ...
Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2022
242022
Beyond uniform smoothness: A stopped analysis of adaptive sgd
M Faw, L Rout, C Caramanis, S Shakkottai
The Thirty Sixth Annual Conference on Learning Theory, 89-160, 2023
172023
Computational sprinting: Architecture, dynamics, and strategies
SM Zahedi, S Fan, M Faw, E Cole, BC Lee
ACM Transactions on Computer Systems (TOCS) 34 (4), 1-26, 2017
172017
Single-sample prophet inequalities revisited
C Caramanis, M Faw, O Papadigenopoulos, E Pountourakis
arXiv preprint arXiv:2103.13089, 2021
62021
Learning to maximize welfare with a reusable resource
M Faw, O Papadigenopoulos, C Caramanis, S Shakkottai
Proceedings of the ACM on Measurement and Analysis of Computing Systems 6 (2 …, 2022
32022
Mix and match: an optimistic tree-search approach for learning models from mixture distributions
M Faw, R Sen, K Shanmugam, C Caramanis, S Shakkottai
Advances in Neural Information Processing Systems 33, 11010-11021, 2020
32020
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