Ambuj Tewari | अम्बुज तिवारी

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Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteVerified email at ttic.edu
Inderjit S. DhillonVice President/Distinguished Scientist at Amazon, and Professor, Computer Science, UT AustinVerified email at cs.utexas.edu
George MichailidisProfessor of Statistics and Computer ScienceVerified email at ufl.edu
Mohamad Kazem Shirani FaradonbehDepartment of Statistics, University of GeorgiaVerified email at uga.edu
Susan MurphyHarvard UniversityVerified email at g.harvard.edu
Alexander RakhlinProfessor, MITVerified email at mit.edu
Nagarajan NatarajanResearcher, Microsoft Research IndiaVerified email at microsoft.com
Sham M KakadeHarvard UniversityVerified email at seas.harvard.edu
Shai Shalev-ShwartzThe Hebrew UniversityVerified email at cs.huji.ac.il
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 JainGoogle Research IndiaVerified email at google.com
Predrag KlasnjaAssociate Professor, School of Information, University of MichiganVerified email at umich.edu
Young Hun JungMicrosoftVerified email at microsoft.com
Nathan SrebroProfessor, TTIC and University of ChicagoVerified email at ttic.edu
Shawna N. SmithUniversity of MichiganVerified email at umich.edu
Harish Guruprasad RamaswamyAssistant Professor of Computer Science and Engineering, IIT MadrasVerified email at cse.iitm.ac.in
Chansoo LeeGoogleVerified email at google.com
Ankan SahaSenior Staff Applied Researcher, LinkedinVerified email at linkedin.com

Ambuj Tewari | अम्बुज तिवारी

Professor, Statistics and EECS, University of Michigan

Verified email at umich.edu - Homepage

Machine Learning Statistics Data Science Sequential Decision Making Optimization


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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	994*	2018
Learning with noisy labels N Natarajan, IS Dhillon, PK Ravikumar, A Tewari Advances in neural information processing systems 26, 2013	914	2013
Stochastic Methods for l₁-regularized Loss Minimization S Shalev-Shwartz, A Tewari The Journal of Machine Learning Research 12, 1865-1892, 2011	461	2011
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	393	2015
Composite objective mirror descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari COLT 10, 14-26, 2010	346	2010
On the complexity of linear prediction: Risk bounds, margin bounds, and regularization SM Kakade, K Sridharan, A Tewari Advances in neural information processing systems 21, 2008	324	2008
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	308	2012
On the Consistency of Multiclass Classification Methods. A Tewari, PL Bartlett Journal of Machine Learning Research 8 (5), 2007	278	2007
REGAL: A regularization based algorithm for reinforcement learning in weakly communicating MDPs PL Bartlett, A Tewari arXiv preprint arXiv:1205.2661, 2012	228	2012
Smoothness, low noise and fast rates N Srebro, K Sridharan, A Tewari Advances in neural information processing systems 23, 2010	215	2010
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	187	2014
Regularization techniques for learning with matrices SM Kakade, S Shalev-Shwartz, A Tewari The Journal of Machine Learning Research 13 (1), 1865-1890, 2012	180	2012
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	180	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	173	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	160	2014
Online bandit learning against an adaptive adversary: from regret to policy regret R Arora, O Dekel, A Tewari arXiv preprint arXiv:1206.6400, 2012	157	2012
On the generalization ability of online strongly convex programming algorithms SM Kakade, A Tewari Advances in Neural Information Processing Systems 21, 2008	156	2008
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	153	2013
Optimal strategies and minimax lower bounds for online convex games J Abernethy, PL Bartlett, A Rakhlin, A Tewari	153	2008
Mixture proportion estimation via kernel embeddings of distributions H Ramaswamy, C Scott, A Tewari International conference on machine learning, 2052-2060, 2016	137	2016

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