Adam Tauman Kalai

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	All	Since 2016
Citations	7955	4497
h-index	41	31
i10-index	67	55

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Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Santosh S. VempalaGeorgia TechVerified email at gatech.edu
Kai-Wei ChangAssistant Professor, UCLAVerified email at kwchang.net
Jennifer ChayesTechnical Fellow & Managing Director, MicrosoftVerified email at microsoft.com
Omer TamuzCaltechVerified email at caltech.edu
Moshe TennenholtzVerified email at ie.technion.ac.il
James ZouStanford UniversityVerified email at stanford.edu
Ehud KalaiVerified email at kellogg.northwestern.edu
Venkatesh SaligramaProfessor, Electrical and Computer Engineering, Boston UniversityVerified email at bu.edu
Nicole ImmorlicaMicrosoft ResearchVerified email at microsoft.com
Abraham FlaxmanInstitute for Health Metrics and Evaluation, Department of Health Metrics Sciences, University ofVerified email at alum.mit.edu
Aditya Krishna MenonResearch Scientist, GoogleVerified email at google.com
Tolga BolukbasiGoogle BrainVerified email at google.com
Ohad ShamirWeizmann Institute of ScienceVerified email at weizmann.ac.il
Sumit GulwaniPartner Research Manager, MicrosoftVerified email at microsoft.com
Yishay MansourTel Aviv UniversityVerified email at tau.ac.il
Ankur MoitraAssociate Professor of Applied Mathematics, MITVerified email at mit.edu
Sham M KakadeUniversity of WashingtonVerified email at cs.washington.edu
Adam KlivansProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Varun KanadeUniversity of OxfordVerified email at cs.ox.ac.uk

Adam Tauman Kalai

Microsoft Research

Verified email at microsoft.com - Homepage

Artificial Intelligence Algorithms Theoretical Computer Science Machine Learning


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Man is to computer programmer as woman is to homemaker? Debiasing word embeddings T Bolukbasi, KW Chang, JY Zou, V Saligrama, AT Kalai Advances in neural information processing systems, 4349-4357, 2016	1165	2016
Efficient algorithms for online decision problems A Kalai, S Vempala Journal of Computer and System Sciences 71 (3), 291-307, 2005	725*	2005
Noise-tolerant learning, the parity problem, and the statistical query model A Blum, A Kalai, H Wasserman Journal of the ACM (JACM) 50 (4), 506-519, 2003	646	2003
Online convex optimization in the bandit setting: gradient descent without a gradient AD Flaxman, AT Kalai, HB McMahan arXiv preprint cs/0408007, 2004	544	2004
Beating the hold-out: Bounds for k-fold and progressive cross-validation A Blum, A Kalai, J Langford Proceedings of the twelfth annual conference on Computational learning …, 1999	292	1999
Trust-based recommendation systems: an axiomatic approach R Andersen, C Borgs, J Chayes, U Feige, A Flaxman, A Kalai, V Mirrokni, ... Proceedings of the 17th international conference on World Wide Web, 199-208, 2008	259	2008
Agnostically learning halfspaces AT Kalai, AR Klivans, Y Mansour, RA Servedio SIAM Journal on Computing 37 (6), 1777-1805, 2008	249	2008
Adaptively learning the crowd kernel O Tamuz, C Liu, S Belongie, O Shamir, AT Kalai arXiv preprint arXiv:1105.1033, 2011	233	2011
Universal portfolios with and without transaction costs A Blum, A Kalai Machine Learning 35 (3), 193-205, 1999	233	1999
Efficiently learning mixtures of two Gaussians AT Kalai, A Moitra, G Valiant Proceedings of the forty-second ACM symposium on Theory of computing, 553-562, 2010	183	2010
Logarithmic regret algorithms for online convex optimization E Hazan, A Kalai, S Kale, A Agarwal International Conference on Computational Learning Theory, 499-513, 2006	170	2006
Analysis of perceptron-based active learning S Dasgupta, AT Kalai, C Monteleoni International conference on computational learning theory, 249-263, 2005	170	2005
Efficient algorithms for universal portfolios A Kalai, S Vempala Journal of Machine Learning Research 3 (Nov), 423-440, 2002	165	2002
A note on learning from multiple-instance examples A Blum, A Kalai Machine learning 30 (1), 23-29, 1998	138	1998
Efficient learning of generalized linear and single index models with isotonic regression SM Kakade, V Kanade, O Shamir, A Kalai Advances in Neural Information Processing Systems, 927-935, 2011	124	2011
A machine learning framework for programming by example A Menon, O Tamuz, S Gulwani, B Lampson, A Kalai International Conference on Machine Learning, 187-195, 2013	119	2013
The Isotron Algorithm: High-Dimensional Isotonic Regression. AT Kalai, R Sastry COLT, 2009	117	2009
Simulated annealing for convex optimization AT Kalai, S Vempala Mathematics of Operations Research 31 (2), 253-266, 2006	117	2006
Omnivergent stereo HY Shum, A Kalai, SM Seitz Proceedings of the Seventh IEEE International Conference on Computer Vision …, 1999	113*	1999
Decoupled classifiers for group-fair and efficient machine learning C Dwork, N Immorlica, AT Kalai, M Leiserson Conference on Fairness, Accountability and Transparency, 119-133, 2018	107	2018

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