Schuster, Assaf

10 publications

ICML 2024 DNCs Require More Planning Steps Yara Shamshoum, Nitzan Hodos, Yuval Sieradzki, Assaf Schuster

ICLR 2024 FOSI: Hybrid First and Second Order Optimization Hadar Sivan, Moshe Gabel, Assaf Schuster

NeurIPS 2023 Probabilistic Invariant Learning with Randomized Linear Classifiers Leonardo Cotta, Gal Yehuda, Assaf Schuster, Chris J Maddison

ICML 2022 Coin Flipping Neural Networks Yuval Sieradzki, Nitzan Hodos, Gal Yehuda, Assaf Schuster

ICML 2021 Asynchronous Distributed Learning : Adapting to Gradient Delays Without Prior Knowledge Rotem Zamir Aviv, Ido Hakimi, Assaf Schuster, Kfir Yehuda Levy

ICLR 2020 Gap-Aware Mitigation of Gradient Staleness Saar Barkai, Ido Hakimi, Assaf Schuster

ECML-PKDD 2020 Incremental Sensitivity Analysis for Kernelized Models Hadar Sivan, Moshe Gabel, Assaf Schuster

ICML 2020 It’s Not What Machines Can Learn, It’s What We Cannot Teach Gal Yehuda, Moshe Gabel, Assaf Schuster

ECML-PKDD 2019 Online Linear Models for Edge Computing Hadar Sivan, Moshe Gabel, Assaf Schuster

ECML-PKDD 2014 Communication-Efficient Distributed Online Prediction by Dynamic Model Synchronization Michael Kamp, Mario Boley, Daniel Keren, Assaf Schuster, Izchak Sharfman