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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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Learning a Metric Embedding for Face Recognition using the Multibatch Method


May 24, 2016
Oren Tadmor, Yonatan Wexler, Tal Rosenwein, Shai Shalev-Shwartz, Amnon Shashua

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