‪Ambuj Tewari | अम्बुज तिवारी‬

Cited by

	All	Since 2019
Citations	14876	10364
h-index	59	51
i10-index	126	112

2100

1050

525

1575

200920102011201220132014201520162017201820192020202120222023202459 109 173 255 351 453 546 671 754 927 1239 1466 1756 1895 2057 1942

Public access

View all

70 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonVerified email at cs.utexas.edu
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
George MichailidisProfessor of Statistics and Computer ScienceVerified email at ufl.edu
Mohamad Kazem Shirani FaradonbehSouthern Methodist UniversityVerified email at smu.edu
Nagarajan NatarajanResearcher, Microsoft Research IndiaVerified email at microsoft.com
Susan MurphyHarvard UniversityVerified email at g.harvard.edu
Alexander RakhlinProfessor, MITVerified email at mit.edu
Sham M KakadeHarvard UniversityVerified email at seas.harvard.edu
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Shai Shalev-ShwartzThe Hebrew UniversityVerified email at cs.huji.ac.il
Jacob AbernethyAssistant Professor, University of MichiganVerified email at umich.edu
Paul ZimmermanUniversity of MichiganVerified email at umich.edu
Ziping XuPostdoc Fellow at Harvard UniversityVerified email at fas.harvard.edu
Yangyi LuPhD student of Statistics, University of MichiganVerified email at umich.edu
Predrag KlasnjaAssociate Professor, School of Information, University of MichiganVerified email at umich.edu
Jack GoetzMetaVerified email at umich.edu
Prateek JainGoogle Research IndiaVerified email at google.com
Aditya ModiMicrosoftVerified email at umich.edu
Young Hun JungMicrosoftVerified email at microsoft.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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	1856*	2018
Learning with noisy labels N Natarajan, IS Dhillon, PK Ravikumar, A Tewari Advances in neural information processing systems 26, 2013	1399	2013
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	635	2015
Stochastic methods for l₁ regularized loss minimization S Shalev-Shwartz, A Tewari Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	519	2009
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	436	2012
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	430	2008
Composite objective mirror descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari Colt 10, 14-26, 2010	418	2010
On the Consistency of Multiclass Classification Methods. A Tewari, PL Bartlett Journal of Machine Learning Research 8 (5), 2007	364	2007
REGAL: A regularization based algorithm for reinforcement learning in weakly communicating MDPs PL Bartlett, A Tewari arXiv preprint arXiv:1205.2661, 2012	308	2012
Smoothness, low noise and fast rates N Srebro, K Sridharan, A Tewari Advances in neural information processing systems 23, 2010	308	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	259	2014
From ads to interventions: Contextual bandits in mobile health A Tewari, SA Murphy Mobile health: sensors, analytic methods, and applications, 495-517, 2017	237	2017
Mixture proportion estimation via kernel embeddings of distributions H Ramaswamy, C Scott, A Tewari International conference on machine learning, 2052-2060, 2016	227	2016
Online bandit learning against an adaptive adversary: from regret to policy regret R Arora, O Dekel, A Tewari arXiv preprint arXiv:1206.6400, 2012	223	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	217	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	216	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	202	2008
On the generalization ability of online strongly convex programming algorithms SM Kakade, A Tewari Advances in neural information processing systems 21, 2008	202	2008
Optimal strategies and minimax lower bounds for online convex games J Abernethy, PL Bartlett, A Rakhlin, A Tewari Proceedings of the 21st annual conference on learning theory, 414-424, 2008	201	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	182	2014

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors