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The unstable formula theorem revisited


Dec 09, 2022
Maryanthe Malliaris, Shay Moran

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Differentially-Private Bayes Consistency


Dec 08, 2022
Olivier Bousquet, Haim Kaplan, Aryeh Kontorovich, Yishay Mansour, Shay Moran, Menachem Sadigurschi, Uri Stemmer

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On Optimal Learning Under Targeted Data Poisoning


Oct 12, 2022
Steve Hanneke, Amin Karbasi, Mohammad Mahmoody, Idan Mehalel, Shay Moran

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Fine-Grained Distribution-Dependent Learning Curves


Aug 31, 2022
Olivier Bousquet, Steve Hanneke, Shay Moran, Jonathan Shafer, Ilya Tolstikhin

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Integral Probability Metrics PAC-Bayes Bounds


Jul 06, 2022
Ron Amit, Baruch Epstein, Shay Moran, Ron Meir

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Understanding Generalization via Leave-One-Out Conditional Mutual Information


Jun 29, 2022
Mahdi Haghifam, Shay Moran, Daniel M. Roy, Gintare Karolina Dziugaite

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* 18 pages 

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A Resilient Distributed Boosting Algorithm


Jun 13, 2022
Yuval Filmus, Idan Mehalel, Shay Moran

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Active Learning with Label Comparisons


Apr 10, 2022
Gal Yona, Shay Moran, Gal Elidan, Amir Globerson

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A Characterization of Multiclass Learnability


Mar 03, 2022
Nataly Brukhim, Daniel Carmon, Irit Dinur, Shay Moran, Amir Yehudayoff

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* 35 pages, 5 figures 

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Monotone Learning


Feb 10, 2022
Olivier Bousquet, Amit Daniely, Haim Kaplan, Yishay Mansour, Shay Moran, Uri Stemmer

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* 19 pages 

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