Ambuj Tewari | अम्बुज तिवारी

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Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteVerifierad e-postadress på ttic.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerifierad e-postadress på cs.berkeley.edu
Inderjit S. DhillonVice President/Distinguished Scientist at Amazon, and Professor, Computer Science, UT AustinVerifierad e-postadress på cs.utexas.edu
Alexander RakhlinAssociate Professor, MITVerifierad e-postadress på mit.edu
Nagarajan NatarajanResearcher, Microsoft Research IndiaVerifierad e-postadress på microsoft.com
Susan MurphyHarvard UniversityVerifierad e-postadress på g.harvard.edu
Sham M KakadeUniversity of WashingtonVerifierad e-postadress på cs.washington.edu
George MichailidisProfessor of Statistics and EECSVerifierad e-postadress på umich.edu
Mohamad Kazem Shirani FaradonbehDepartment of Statistics, University of GeorgiaVerifierad e-postadress på uga.edu
Shai Shalev-ShwartzThe Hebrew UniversityVerifierad e-postadress på cs.huji.ac.il
Pradeep RavikumarAssociate Professor, School of Computer Science, Carnegie Mellon UniversityVerifierad e-postadress på cs.cmu.edu
Jacob AbernethyAssistant Professor, University of MichiganVerifierad e-postadress på umich.edu
Prateek JainMicrosoft Research IndiaVerifierad e-postadress på microsoft.com
Predrag KlasnjaAssociate Professor of Information, University of MichiganVerifierad e-postadress på umich.edu
Nathan SrebroProfessor, TTIC and University of ChicagoVerifierad e-postadress på ttic.edu
Young Hun JungMicrosoftVerifierad e-postadress på microsoft.com
Ankan SahaSenior Staff Applied Researcher, LinkedinVerifierad e-postadress på linkedin.com
Shawna N. SmithUniversity of MichiganVerifierad e-postadress på umich.edu
Chansoo LeeGoogleVerifierad e-postadress på google.com
Sougata ChaudhuriUniversity of Michigan Ann ArborVerifierad e-postadress på umich.edu

Ambuj Tewari | अम्बुज तिवारी

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

Verifierad e-postadress på umich.edu - Startsida

Machine Learning Statistics Data Science Sequential Decision Making Optimization


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Learning with noisy labels. N Natarajan, IS Dhillon, P Ravikumar, A Tewari NIPS 26, 1196-1204, 2013	686	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	631*	2018
Stochastic Methods for l₁-regularized Loss Minimization S Shalev-Shwartz, A Tewari The Journal of Machine Learning Research 12, 1865-1892, 2011	445	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	299	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	289	2015
On the Consistency of Multiclass Classification Methods. A Tewari, PL Bartlett Journal of Machine Learning Research 8 (5), 2007	254	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	251	2012
REGAL: A regularization based algorithm for reinforcement learning in weakly communicating MDPs PL Bartlett, A Tewari arXiv preprint arXiv:1205.2661, 2012	199	2012
Smoothness, low noise and fast rates N Srebro, K Sridharan, A Tewari Advances in neural information processing systems 23, 2010	196	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	175	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	175	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	166	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	146	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	134	2013
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 Generalization Ability of Online Strongly Convex Programming Algorithms. SM Kakade, A Tewari NIPS, 801-808, 2008	133	2008
On the nonasymptotic convergence of cyclic coordinate descent methods A Saha, A Tewari SIAM Journal on Optimization 23 (1), 576-601, 2013	121	2013

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