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2020 – today
- 2023
[c5]Matthew Faw, Litu Rout, Constantine Caramanis, Sanjay Shakkottai:
Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD. COLT 2023: 89-160- [i5]Matthew Faw, Litu Rout, Constantine Caramanis, Sanjay Shakkottai:
Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD. CoRR abs/2302.06570 (2023) - 2022
- [j2]Matthew Faw, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Learning To Maximize Welfare with a Reusable Resource. Proc. ACM Meas. Anal. Comput. Syst. 6(2): 27:1-27:30 (2022) - [c4]Matthew Faw, Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari, Sanjay Shakkottai, Rachel A. Ward:
The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance. COLT 2022: 313-355 - [c3]Matthew Faw, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Learning To Maximize Welfare with a Reusable Resource. SIGMETRICS (Abstracts) 2022: 111-112 - [c2]Constantine Caramanis, Paul Dütting, Matthew Faw, Federico Fusco, Philip Lazos, Stefano Leonardi, Orestis Papadigenopoulos, Emmanouil Pountourakis, Rebecca Reiffenhäuser:
Single-Sample Prophet Inequalities via Greedy-Ordered Selection. SODA 2022: 1298-1325 - [i4]Matthew Faw, Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari, Sanjay Shakkottai, Rachel A. Ward:
The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance. CoRR abs/2202.05791 (2022) - 2021
- [i3]Constantine Caramanis, Matthew Faw, Orestis Papadigenopoulos, Emmanouil Pountourakis:
Single-Sample Prophet Inequalities Revisited. CoRR abs/2103.13089 (2021) - [i2]Constantine Caramanis, Paul Dütting, Matthew Faw, Federico Fusco, Philip Lazos, Stefano Leonardi, Orestis Papadigenopoulos, Emmanouil Pountourakis, Rebecca Reiffenhäuser:
Single-Sample Prophet Inequalities via Greedy-Ordered Selection. CoRR abs/2111.03174 (2021) - 2020
- [c1]Matthew Faw, Rajat Sen, Karthikeyan Shanmugam
, Constantine Caramanis, Sanjay Shakkottai:
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions. NeurIPS 2020
2010 – 2019
- 2019
- [i1]Matthew Faw, Rajat Sen, Karthikeyan Shanmugam, Constantine Caramanis, Sanjay Shakkottai:
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions. CoRR abs/1907.10154 (2019) - 2017
- [j1]Seyed Majid Zahedi, Songchun Fan, Matthew Faw, Elijah Cole, Benjamin C. Lee:
Computational Sprinting: Architecture, Dynamics, and Strategies. ACM Trans. Comput. Syst. 34(4): 12:1-12:26 (2017)
Coauthor Index
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