Mariano Schain

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 11

Top Topics

Importance Sampling

Temporal Structure

Top Venues

Publications

Amit Daniely, Mariano Schain, Gilad Yehudai
RedEx: Beyond Fixed Representation Methods via Convex Optimization. ALT (2024)
Amit Daniely, Mariano Schain, Gilad Yehudai
RedEx: Beyond Fixed Representation Methods via Convex Optimization. CoRR (2024)
Gilad Yehudai, Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain
Locally Optimal Descent for Dynamic Stepsize Scheduling. CoRR (2023)
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 (2023)
Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou
Adversarial Robustness of Streaming Algorithms through Importance Sampling. NeurIPS (2021)
Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou
Adversarial Robustness of Streaming Algorithms through Importance Sampling. CoRR (2021)
Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain
Asynchronous Stochastic Optimization Robust to Arbitrary Delays. NeurIPS (2021)
Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain
Asynchronous Stochastic Optimization Robust to Arbitrary Delays. CoRR (2021)
Elad Eban, Mariano Schain, Alan Mackey, Ariel Gordon, Ryan Rifkin, Gal Elidan
Scalable Learning of Non-Decomposable Objectives. AISTATS (2017)
Amos Fiat, Yishay Mansour, Mariano Schain
History-Independent Distributed Multi-agent Learning. SAGT (2016)
Elad Eban, Mariano Schain, Ariel Gordon, Rif Saurous, Gal Elidan
Large-scale Learning With Global Non-Decomposable Objectives. CoRR (2016)
Yishay Mansour, Mariano Schain
Robust domain adaptation. Ann. Math. Artif. Intell. 71 (4) (2014)
Shai Hertz, Mariano Schain, Yishay Mansour
An empirical study of trading agent robustness. AAMAS (2013)
Mariano Schain, Yishay Mansour
Ad Exchange - Proposal for a New Trading Agent Competition Game. AMEC/TADA (2012)
Yishay Mansour, Mariano Schain
Robust Domain Adaptation. ISAIM (2012)
Mariano Schain, Shai Hertz, Yishay Mansour
A Model-Free Approach for a TAC-AA Trading Agent. AMEC/TADA (2012)
Yishay Mansour, Mariano Schain
Learning with Maximum-Entropy Distributions. Mach. Learn. 45 (2) (2001)
Yishay Mansour, Mariano Schain
Learning with Maximum-Entropy Distributions. COLT (1997)