Mariano Schain

20 papers A* 3A 3B 2Misc 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A conf
Locally Optimal Descent for Dynamic Stepsize Scheduling.
AISTATS
Gilad Yehudai, Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain
2024 B conf
RedEx: Beyond Fixed Representation Methods via Convex Optimization.
ALT
Amit Daniely, Mariano Schain, Gilad Yehudai
2024 J jnl
RedEx: Beyond Fixed Representation Methods via Convex Optimization.
CoRR
Amit Daniely, Mariano Schain, Gilad Yehudai
2023 J jnl
Locally Optimal Descent for Dynamic Stepsize Scheduling.
CoRR
Gilad Yehudai, Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain
2023 J jnl
The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models.
CoRR
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
2021 A* conf
Adversarial Robustness of Streaming Algorithms through Importance Sampling.
NeurIPS
Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou
2021 J jnl
Adversarial Robustness of Streaming Algorithms through Importance Sampling.
CoRR
Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou
2021 A* conf
Asynchronous Stochastic Optimization Robust to Arbitrary Delays.
NeurIPS
Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain
2021 J jnl
Asynchronous Stochastic Optimization Robust to Arbitrary Delays.
CoRR
Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain
2017 A conf
Scalable Learning of Non-Decomposable Objectives.
AISTATS
Elad Eban, Mariano Schain, Alan Mackey, Ariel Gordon, Ryan Rifkin, Gal Elidan
2016 B conf
History-Independent Distributed Multi-agent Learning.
SAGT
Amos Fiat, Yishay Mansour, Mariano Schain
2016 J jnl
Large-scale Learning With Global Non-Decomposable Objectives.
CoRR
Elad Eban, Mariano Schain, Ariel Gordon, Rif Saurous, Gal Elidan
2015 — —
Machine learning algorithms and robustness
Mariano Schain
2014 J jnl
Robust domain adaptation.
Ann. Math. Artif. Intell.
Yishay Mansour, Mariano Schain
2013 A conf
An empirical study of trading agent robustness.
AAMAS
Shai Hertz, Mariano Schain, Yishay Mansour
2012 — conf
A Model-Free Approach for a TAC-AA Trading Agent.
AMEC/TADA
Mariano Schain, Shai Hertz, Yishay Mansour
2012 — conf
Ad Exchange - Proposal for a New Trading Agent Competition Game.
AMEC/TADA
Mariano Schain, Yishay Mansour
2012 Misc conf
Robust Domain Adaptation.
ISAIM
Yishay Mansour, Mariano Schain
2001 J jnl
Learning with Maximum-Entropy Distributions.
Mach. Learn.
Yishay Mansour, Mariano Schain
1997 A* conf
Learning with Maximum-Entropy Distributions.
COLT
Yishay Mansour, Mariano Schain