Ambuj Tewari | अम्बुज तिवारी

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Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at Amazon確認したメールアドレス: cs.utexas.edu
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological Institute確認したメールアドレス: ttic.edu
Susan MurphyHarvard University確認したメールアドレス: g.harvard.edu
Peter BartlettProfessor, EECS and Statistics, UC Berkeley確認したメールアドレス: cs.berkeley.edu
Nagarajan NatarajanResearcher, Microsoft Research India確認したメールアドレス: microsoft.com
George MichailidisProfessor of Statistics and Computer Science確認したメールアドレス: ufl.edu
Mohamad Kazem Shirani FaradonbehSouthern Methodist University確認したメールアドレス: smu.edu
Alexander RakhlinProfessor, MIT確認したメールアドレス: mit.edu
Sham M KakadeHarvard University確認したメールアドレス: seas.harvard.edu
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon University確認したメールアドレス: cs.cmu.edu
Shai Shalev-ShwartzThe Hebrew University確認したメールアドレス: cs.huji.ac.il
Paul ZimmermanUniversity of Michigan確認したメールアドレス: umich.edu
Jacob AbernethyAssistant Professor, University of Michigan確認したメールアドレス: umich.edu
Ziping XuPostdoc Fellow at Harvard University確認したメールアドレス: fas.harvard.edu
Shawna N. SmithUniversity of Michigan確認したメールアドレス: umich.edu
Yangyi LuPhD student of Statistics, University of Michigan確認したメールアドレス: umich.edu
Vinod RamanUniversity of Michigan確認したメールアドレス: umich.edu
Jack GoetzMeta確認したメールアドレス: umich.edu
Predrag KlasnjaAssociate Professor, School of Information, University of Michigan確認したメールアドレス: umich.edu
Prateek JainGoogle Research India確認したメールアドレス: google.com

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Ambuj Tewari | अम्बुज तिवारी

Professor, Statistics and EECS, University of Michigan

確認したメールアドレス: umich.edu - ホームページ

Machine Learning Statistics Data Science Sequential Decision Making Optimization


タイトル引用回数順公開年順タイトル順	引用先引用先	年
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	1982*	2018
Learning with noisy labels N Natarajan, IS Dhillon, PK Ravikumar, A Tewari Advances in neural information processing systems 26, 2013	1462	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	670	2015
Stochastic methods for l₁ regularized loss minimization S Shalev-Shwartz, A Tewari Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	528	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	455	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	444	2008
Composite objective mirror descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari Colt 10, 14-26, 2010	433	2010
On the Consistency of Multiclass Classification Methods. A Tewari, PL Bartlett Journal of Machine Learning Research 8 (5), 2007	368	2007
Smoothness, low noise and fast rates N Srebro, K Sridharan, A Tewari Advances in neural information processing systems 23, 2010	327	2010
REGAL: A regularization based algorithm for reinforcement learning in weakly communicating MDPs PL Bartlett, A Tewari arXiv preprint arXiv:1205.2661, 2012	316	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	275	2014
From ads to interventions: Contextual bandits in mobile health A Tewari, SA Murphy Mobile health: sensors, analytic methods, and applications, 495-517, 2017	252	2017
Mixture proportion estimation via kernel embeddings of distributions H Ramaswamy, C Scott, A Tewari International conference on machine learning, 2052-2060, 2016	235	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	228	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	221	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	213	2011
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	208	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	203	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
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	184	2014

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