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Shai Shalev-Shwartz

Minimizing the Maximal Loss: How and Why?

May 22, 2016
Shai Shalev-Shwartz, Yonatan Wexler

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* ICML 2016

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SDCA without Duality, Regularization, and Individual Convexity

May 21, 2016
Shai Shalev-Shwartz

* ICML 2016

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On the Sample Complexity of End-to-end Training vs. Semantic Abstraction Training

Apr 23, 2016
Shai Shalev-Shwartz, Amnon Shashua

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Learning Sparse Low-Threshold Linear Classifiers

Apr 18, 2016
Sivan Sabato, Shai Shalev-Shwartz, Nathan Srebro, Daniel Hsu, Tong Zhang

* Journal of Machine Learning Research, 16(Jul):1275-1304, 2015

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Distribution Free Learning with Local Queries

Mar 11, 2016
Galit Bary-Weisberg, Amit Daniely, Shai Shalev-Shwartz

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Long-term Planning by Short-term Prediction

Feb 04, 2016
Shai Shalev-Shwartz, Nir Ben-Zrihem, Aviad Cohen, Amnon Shashua

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Beyond Convexity: Stochastic Quasi-Convex Optimization

Oct 28, 2015
Elad Hazan, Kfir Y. Levy, Shai Shalev-Shwartz

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Strongly Adaptive Online Learning

Jun 19, 2015
Amit Daniely, Alon Gonen, Shai Shalev-Shwartz

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Faster SGD Using Sketched Conditioning

Jun 08, 2015
Alon Gonen, Shai Shalev-Shwartz

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