Scott Yang
New York University
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Publication
Featured researches published by Scott Yang.
algorithmic learning theory | 2016
Mehryar Mohri; Scott Yang
We study the problem of learning ensembles in the online setting, when the hypotheses are selected out of a base family that may be a union of possibly very complex sub-families. We prove new theoretical guarantees for the online learning of such ensembles in terms of the sequential Rademacher complexities of these sub-families. We also describe an algorithm that benefits from such guarantees. We further extend our framework by proving new structural estimation error guarantees for ensembles in the batch setting through a new data-dependent online-to-batch conversion technique, thereby also devising an effective algorithm for the batch setting which does not require the estimation of the Rademacher complexities of base sub-families.
international conference on machine learning | 2017
Corinna Cortes; Xavier Gonzalvo; Vitaly Kuznetsov; Mehryar Mohri; Scott Yang
neural information processing systems | 2016
Corinna Cortes; Vitaly Kuznetsov; Mehryar Mohri; Scott Yang
international conference on machine learning | 2017
Corinna Cortes; Giulia DeSalvo; Claudio Gentile; Mehryar Mohri; Scott Yang
international conference on artificial intelligence and statistics | 2018
Mehryar Mohri; Scott Yang
neural information processing systems | 2017
Mehryar Mohri; Scott Yang
international conference on machine learning | 2016
Andres Munoz Medina; Scott Yang
arXiv: Machine Learning | 2015
Mehryar Mohri; Scott Yang
neural information processing systems | 2018
Corinna Cortes; Vitaly Kuznetsov; Mehryar Mohri; Dmitry Storcheus; Scott Yang
international conference on artificial intelligence and statistics | 2018
Scott Yang; Yue Yu; Arash Givchi; Pei Wang; Wai Keen Vong; Patrick Shafto
Collaboration
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