Ambuj Tewari | अम्बुज तिवारी

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	All	Since 2016
Citations	7532	5315
h-index	42	36
i10-index	80	73

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Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteVerified email at ttic.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Inderjit S. DhillonVice President/Distinguished Scientist at Amazon, and Professor, Computer Science, UT AustinVerified email at cs.utexas.edu
Alexander RakhlinAssociate Professor, MITVerified email at mit.edu
Nagarajan NatarajanResearcher, Microsoft Research IndiaVerified email at microsoft.com
Susan MurphyHarvard UniversityVerified email at g.harvard.edu
Sham M KakadeUniversity of WashingtonVerified email at cs.washington.edu
Shai Shalev-ShwartzThe Hebrew UniversityVerified email at cs.huji.ac.il
George MichailidisProfessor of Statistics and EECSVerified email at umich.edu
Mohamad Kazem Shirani FaradonbehDepartment of Statistics, University of GeorgiaVerified email at uga.edu
Pradeep RavikumarAssociate Professor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Jacob AbernethyAssistant Professor, University of MichiganVerified email at umich.edu
Prateek JainMicrosoft Research IndiaVerified email at microsoft.com
Predrag KlasnjaAssociate Professor of Information, University of MichiganVerified email at umich.edu
Nathan SrebroProfessor, TTIC and University of ChicagoVerified email at ttic.edu
Young Hun JungMicrosoftVerified email at microsoft.com
Ankan SahaSenior Staff Applied Researcher, LinkedinVerified email at linkedin.com
Shawna N. SmithUniversity of MichiganVerified email at umich.edu
Chansoo LeeGoogleVerified email at google.com
Sougata ChaudhuriUniversity of Michigan Ann ArborVerified email at umich.edu

Ambuj Tewari | अम्बुज तिवारी

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

Verified email at umich.edu - Homepage

Machine Learning Statistics Data Science Sequential Decision Making Optimization


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Learning with noisy labels. N Natarajan, IS Dhillon, P Ravikumar, A Tewari NIPS 26, 1196-1204, 2013	644	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	580*	2018
Stochastic Methods for l₁-regularized Loss Minimization S Shalev-Shwartz, A Tewari The Journal of Machine Learning Research 12, 1865-1892, 2011	441	2011
Composite Objective Mirror Descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari COLT, 14-26, 2010	312	2010
On the complexity of linear prediction: Risk bounds, margin bounds, and regularization SM Kakade, K Sridharan, A Tewari	286	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	273	2015
On the Consistency of Multiclass Classification Methods. A Tewari, PL Bartlett Journal of Machine Learning Research 8 (5), 2007	249	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	241	2012
Smoothness, low noise and fast rates N Srebro, K Sridharan, A Tewari Advances in neural information processing systems 23, 2010	188	2010
REGAL: A regularization based algorithm for reinforcement learning in weakly communicating MDPs PL Bartlett, A Tewari arXiv preprint arXiv:1205.2661, 2012	185	2012
Regularization techniques for learning with matrices SM Kakade, S Shalev-Shwartz, A Tewari The Journal of Machine Learning Research 13 (1), 1865-1890, 2012	172	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	170	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	165	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	152	2008
Optimal strategies and minimax lower bounds for online convex games J Abernethy, PL Bartlett, A Rakhlin, A Tewari	147	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	144	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	130	2013
On the Generalization Ability of Online Strongly Convex Programming Algorithms. SM Kakade, A Tewari NIPS, 801-808, 2008	127	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	126	2012
On the nonasymptotic convergence of cyclic coordinate descent methods A Saha, A Tewari SIAM Journal on Optimization 23 (1), 576-601, 2013	119	2013

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