Ambuj Tewari | अम्बुज तिवारी

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Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological Institutettic.edu의 이메일 확인됨
Peter BartlettProfessor, EECS and Statistics, UC Berkeleycs.berkeley.edu의 이메일 확인됨
Inderjit S. DhillonVice President/Distinguished Scientist at Amazon, and Professor, Computer Science, UT Austincs.utexas.edu의 이메일 확인됨
Alexander RakhlinAssociate Professor, MITmit.edu의 이메일 확인됨
Nagarajan NatarajanResearcher, Microsoft Research Indiamicrosoft.com의 이메일 확인됨
Susan MurphyHarvard Universityg.harvard.edu의 이메일 확인됨
Sham M KakadeUniversity of Washingtoncs.washington.edu의 이메일 확인됨
George MichailidisProfessor of Statistics and EECSumich.edu의 이메일 확인됨
Mohamad Kazem Shirani FaradonbehDepartment of Statistics, University of Georgiauga.edu의 이메일 확인됨
Shai Shalev-ShwartzThe Hebrew Universitycs.huji.ac.il의 이메일 확인됨
Pradeep RavikumarAssociate Professor, School of Computer Science, Carnegie Mellon Universitycs.cmu.edu의 이메일 확인됨
Jacob AbernethyAssistant Professor, University of Michiganumich.edu의 이메일 확인됨
Prateek JainMicrosoft Research Indiamicrosoft.com의 이메일 확인됨
Predrag KlasnjaAssociate Professor of Information, University of Michiganumich.edu의 이메일 확인됨
Nathan SrebroProfessor, TTIC and University of Chicagottic.edu의 이메일 확인됨
Ankan SahaSenior Staff Applied Researcher, Linkedinlinkedin.com의 이메일 확인됨
Shawna N. SmithUniversity of Michiganumich.edu의 이메일 확인됨
Young Hun JungMicrosoftmicrosoft.com의 이메일 확인됨
Chansoo LeeGooglegoogle.com의 이메일 확인됨
Sougata ChaudhuriUniversity of Michigan Ann Arborumich.edu의 이메일 확인됨

Ambuj Tewari | अम्बुज तिवारी

Associate Professor, Department of Statistics and Department of EECS, University of Michigan

umich.edu의 이메일 확인됨 - 홈페이지

Machine Learning Statistics Data Science Sequential Decision Making Optimization


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
Learning with noisy labels. N Natarajan, IS Dhillon, P Ravikumar, A Tewari NIPS 26, 1196-1204, 2013	697	2013
Just in time adaptive interventions (JITAIs): An organizing framework for ongoing health behavior support I Nahum-Shani, SN Smith, B Spring, LM Collins, K Witkiewitz, A Tewari, ... Annals of Behavioral Medicine 52 (6), 446-462, 2018	648*	2018
Stochastic Methods for l₁-regularized Loss Minimization S Shalev-Shwartz, A Tewari The Journal of Machine Learning Research 12, 1865-1892, 2011	446	2011
Composite Objective Mirror Descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari COLT, 14-26, 2010	319	2010
On the complexity of linear prediction: Risk bounds, margin bounds, and regularization SM Kakade, K Sridharan, A Tewari	304	2008
Microrandomized trials: An experimental design for developing just-in-time adaptive interventions. P Klasnja, EB Hekler, S Shiffman, A Boruvka, D Almirall, A Tewari, ... Health Psychology 34 (S), 1220, 2015	293	2015
On the Consistency of Multiclass Classification Methods. A Tewari, PL Bartlett Journal of Machine Learning Research 8 (5), 2007	256	2007
PAC subset selection in stochastic multi-armed bandits S Kalyanakrishnan, A Tewari, P Auer, P Stone Proceedings of the 29th International Conference on Machine Learning (ICML …, 2012	253	2012
REGAL: A regularization based algorithm for reinforcement learning in weakly communicating MDPs PL Bartlett, A Tewari arXiv preprint arXiv:1205.2661, 2012	200	2012
Smoothness, low noise and fast rates N Srebro, K Sridharan, A Tewari Advances in neural information processing systems 23, 2010	196	2010
Regularization techniques for learning with matrices SM Kakade, S Shalev-Shwartz, A Tewari The Journal of Machine Learning Research 13 (1), 1865-1890, 2012	176	2012
On iterative hard thresholding methods for high-dimensional M-estimation P Jain, A Tewari, P Kar Advances in Neural Information Processing Systems, 685-693, 2014	175	2014
Exploiting longer cycles for link prediction in signed networks KY Chiang, N Natarajan, A Tewari, IS Dhillon Proceedings of the 20th ACM international conference on Information and …, 2011	167	2011
Efficient bandit algorithms for online multiclass prediction SM Kakade, S Shalev-Shwartz, A Tewari Proceedings of the 25th international conference on Machine learning, 440-447, 2008	155	2008
Optimal strategies and minimax lower bounds for online convex games J Abernethy, PL Bartlett, A Rakhlin, A Tewari	150	2008
Prediction and clustering in signed networks: a local to global perspective KY Chiang, CJ Hsieh, N Natarajan, IS Dhillon, A Tewari The Journal of Machine Learning Research 15 (1), 1177-1213, 2014	147	2014
Prediction and validation of gene-disease associations using methods inspired by social network analyses UM Singh-Blom, N Natarajan, A Tewari, JO Woods, IS Dhillon, ... PloS one 8 (5), e58977, 2013	136	2013
On the Generalization Ability of Online Strongly Convex Programming Algorithms. SM Kakade, A Tewari NIPS, 801-808, 2008	134	2008
Online bandit learning against an adaptive adversary: from regret to policy regret R Arora, O Dekel, A Tewari arXiv preprint arXiv:1206.6400, 2012	133	2012
On the nonasymptotic convergence of cyclic coordinate descent methods A Saha, A Tewari SIAM Journal on Optimization 23 (1), 576-601, 2013	123	2013

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