Ambuj Tewari | अम्बुज तिवारी

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Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonGeverifieerd e-mailadres voor cs.utexas.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyGeverifieerd e-mailadres voor cs.berkeley.edu
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteGeverifieerd e-mailadres voor ttic.edu
George MichailidisProfessor of Statistics and Computer ScienceGeverifieerd e-mailadres voor ufl.edu
Mohamad Kazem Shirani FaradonbehSouthern Methodist UniversityGeverifieerd e-mailadres voor smu.edu
Nagarajan NatarajanResearcher, Microsoft Research IndiaGeverifieerd e-mailadres voor microsoft.com
Susan MurphyHarvard UniversityGeverifieerd e-mailadres voor g.harvard.edu
Alexander RakhlinProfessor, MITGeverifieerd e-mailadres voor mit.edu
Sham M KakadeHarvard UniversityGeverifieerd e-mailadres voor seas.harvard.edu
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityGeverifieerd e-mailadres voor cs.cmu.edu
Shai Shalev-ShwartzThe Hebrew UniversityGeverifieerd e-mailadres voor cs.huji.ac.il
Jacob AbernethyAssistant Professor, University of MichiganGeverifieerd e-mailadres voor umich.edu
Paul ZimmermanUniversity of MichiganGeverifieerd e-mailadres voor umich.edu
Ziping XuPostdoc Fellow at Harvard UniversityGeverifieerd e-mailadres voor fas.harvard.edu
Predrag KlasnjaAssociate Professor, School of Information, University of MichiganGeverifieerd e-mailadres voor umich.edu
Prateek JainGoogle Research IndiaGeverifieerd e-mailadres voor google.com
Yangyi LuPhD student of Statistics, University of MichiganGeverifieerd e-mailadres voor umich.edu
Jack GoetzMetaGeverifieerd e-mailadres voor umich.edu
Young Hun JungMicrosoftGeverifieerd e-mailadres voor microsoft.com
Shawna N. SmithUniversity of MichiganGeverifieerd e-mailadres voor umich.edu

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Ambuj Tewari | अम्बुज तिवारी

Professor, Statistics and EECS, University of Michigan

Geverifieerd e-mailadres voor umich.edu - Homepage

Machine Learning Statistics Data Science Sequential Decision Making Optimization


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
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	1483*	2018
Learning with noisy labels N Natarajan, IS Dhillon, PK Ravikumar, A Tewari Advances in neural information processing systems 26, 2013	1205	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	538	2015
Stochastic methods for l₁ regularized loss minimization S Shalev-Shwartz, A Tewari Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	507	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	398	2012
Composite objective mirror descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari COLT 10, 14-26, 2010	393	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	388	2008
On the Consistency of Multiclass Classification Methods. A Tewari, PL Bartlett Journal of Machine Learning Research 8 (5), 2007	333	2007
REGAL: A regularization based algorithm for reinforcement learning in weakly communicating MDPs PL Bartlett, A Tewari arXiv preprint arXiv:1205.2661, 2012	286	2012
Smoothness, low noise and fast rates N Srebro, K Sridharan, A Tewari Advances in neural information processing systems 23, 2010	276	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	229	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	204	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	202	2011
From ads to interventions: Contextual bandits in mobile health A Tewari, SA Murphy Mobile health: sensors, analytic methods, and applications, 495-517, 2017	201	2017
Mixture proportion estimation via kernel embeddings of distributions H Ramaswamy, C Scott, A Tewari International conference on machine learning, 2052-2060, 2016	194	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	192	2012
On the generalization ability of online strongly convex programming algorithms SM Kakade, A Tewari Advances in Neural Information Processing Systems 21, 2008	192	2008
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	186	2008
Optimal strategies and minimax lower bounds for online convex games J Abernethy, PL Bartlett, A Rakhlin, A Tewari	180	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	170	2014

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