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2020 – today
- 2024
[c10]Amit Daniely, Mariano Schain, Gilad Yehudai:
RedEx: Beyond Fixed Representation Methods via Convex Optimization. ALT 2024: 518-543- [i6]Amit Daniely, Mariano Schain, Gilad Yehudai:
RedEx: Beyond Fixed Representation Methods via Convex Optimization. CoRR abs/2401.07606 (2024) - 2023
- [i5]Ariel Goldstein, Eric Ham, Mariano Schain, Samuel A. Nastase, Zaid Zada, Avigail Dabush, Bobbi Aubrey, Harshvardhan Gazula, Amir Feder, Werner K. Doyle, Sasha Devore, Patricia Dugan, Daniel Friedman, Roi Reichart, Michael P. Brenner, Avinatan Hassidim, Orrin Devinsky, Adeen Flinker, Omer Levy, Uri Hasson:
The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models. CoRR abs/2310.07106 (2023) - [i4]Gilad Yehudai, Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain:
Locally Optimal Descent for Dynamic Stepsize Scheduling. CoRR abs/2311.13877 (2023) - 2021
- [c9]Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou:
Adversarial Robustness of Streaming Algorithms through Importance Sampling. NeurIPS 2021: 3544-3557 - [c8]Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain:
Asynchronous Stochastic Optimization Robust to Arbitrary Delays. NeurIPS 2021: 9024-9035 - [i3]Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain:
Asynchronous Stochastic Optimization Robust to Arbitrary Delays. CoRR abs/2106.11879 (2021) - [i2]Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou:
Adversarial Robustness of Streaming Algorithms through Importance Sampling. CoRR abs/2106.14952 (2021)
2010 – 2019
- 2017
- [c7]Elad Eban, Mariano Schain, Alan Mackey, Ariel Gordon, Ryan Rifkin, Gal Elidan:
Scalable Learning of Non-Decomposable Objectives. AISTATS 2017: 832-840 - 2016
- [c6]Amos Fiat, Yishay Mansour, Mariano Schain:
History-Independent Distributed Multi-agent Learning. SAGT 2016: 77-89 - [i1]Elad Eban, Mariano Schain, Ariel Gordon, Rif Saurous, Gal Elidan:
Large-scale Learning With Global Non-Decomposable Objectives. CoRR abs/1608.04802 (2016) - 2015
- [b1]Mariano Schain:
Machine learning algorithms and robustness. Tel Aviv University, Israel, 2015 - 2014
- [j2]Yishay Mansour, Mariano Schain:
Robust domain adaptation. Ann. Math. Artif. Intell. 71(4): 365-380 (2014) - 2013
- [c5]Shai Hertz, Mariano Schain, Yishay Mansour:
An empirical study of trading agent robustness. AAMAS 2013: 1253-1254 - 2012
- [c4]Mariano Schain, Shai Hertz, Yishay Mansour:
A Model-Free Approach for a TAC-AA Trading Agent. AMEC/TADA 2012: 119-132 - [c3]Mariano Schain, Yishay Mansour:
Ad Exchange - Proposal for a New Trading Agent Competition Game. AMEC/TADA 2012: 133-145 - [c2]Yishay Mansour, Mariano Schain:
Robust Domain Adaptation. ISAIM 2012
2000 – 2009
- 2001
- [j1]Yishay Mansour, Mariano Schain:
Learning with Maximum-Entropy Distributions. Mach. Learn. 45(2): 123-145 (2001)
1990 – 1999
- 1997
- [c1]Yishay Mansour, Mariano Schain:
Learning with Maximum-Entropy Distributions. COLT 1997: 201-210
Coauthor Index
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