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Shai Shalev-Shwartz

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Decoupling "when to update" from "how to update"

Mar 26, 2018
Eran Malach, Shai Shalev-Shwartz

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SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data

Oct 27, 2017
Alon Brutzkus, Amir Globerson, Eran Malach, Shai Shalev-Shwartz

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Fast Rates for Empirical Risk Minimization of Strict Saddle Problems

Jun 04, 2017
Alon Gonen, Shai Shalev-Shwartz

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Weight Sharing is Crucial to Succesful Optimization

Jun 02, 2017
Shai Shalev-Shwartz, Ohad Shamir, Shaked Shammah

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Failures of Gradient-Based Deep Learning

Apr 26, 2017
Shai Shalev-Shwartz, Ohad Shamir, Shaked Shammah

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Average Stability is Invariant to Data Preconditioning. Implications to Exp-concave Empirical Risk Minimization

Apr 16, 2017
Alon Gonen, Shai Shalev-Shwartz

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SelfieBoost: A Boosting Algorithm for Deep Learning

Apr 08, 2017
Shai Shalev-Shwartz

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Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

Oct 11, 2016
Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua

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Subspace Learning with Partial Information

May 26, 2016
Alon Gonen, Dan Rosenbaum, Yonina Eldar, Shai Shalev-Shwartz

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Solving Ridge Regression using Sketched Preconditioned SVRG

May 26, 2016
Alon Gonen, Francesco Orabona, Shai Shalev-Shwartz

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