Dean Foster

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Lyle UngarUniversity of PennsylvaniaVerifisert e-postadresse på cis.upenn.edu
Sham M KakadeHarvard UniversityVerifisert e-postadresse på seas.harvard.edu
Rakesh VohraUniversity of PennsylvaniaVerifisert e-postadresse på sas.upenn.edu
Paramveer DhillonUniversity of MichiganVerifisert e-postadresse på umich.edu
Edward I GeorgeUniversal Furniture Professor Emeritus of Statistics, Wharton School, University of PennsylvaniaVerifisert e-postadresse på wharton.upenn.edu
Yichao LuUniversity of Pennsylvania, AmazonVerifisert e-postadresse på wharton.upenn.edu
Alexander RakhlinProfessor, MITVerifisert e-postadresse på mit.edu
Daniel HsuColumbia UniversityVerifisert e-postadresse på cs.columbia.edu
Sergiu HartHebrew University of JerusalemVerifisert e-postadresse på huji.ac.il
Ilan YanivProfessor of Psychology, Hebrew University of JerusalemVerifisert e-postadresse på mail.huji.ac.il
Michael CollinsGoogle NYCVerifisert e-postadresse på cs.columbia.edu
Howard KarloffGoldman SachsVerifisert e-postadresse på cc.gatech.edu
Karl StratosEssential AIVerifisert e-postadresse på karlstratos.com
Lee H. DickerRutgers University, Department of Statistics and BiostatisticsVerifisert e-postadresse på stat.rutgers.edu

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Dean Foster

Amazon, NYC

Verifisert e-postadresse på amazon.com - Startside

mathematical statistics reinforcement learning game theory


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
Stochastic evolutionary game dynamics D Foster, P Young Theoretical population biology 38 (2), 219-232, 1990	1319	1990
Clustering methods for collaborative filtering LH Ungar, DP Foster AAAI workshop on recommendation systems 1, 114-129, 1998	1204	1998
The risk inflation criterion for multiple regression DP Foster, E George The Annals of Statistics, 1947-1975, 1994	844	1994
Calibration and empirical Bayes variable selection EI George, DP Foster Biometrika 87 (4), 731-747, 2000	719	2000
The practical implementation of Bayesian model selection H Chipman, EI George, RE McCulloch, M Clyde, DP Foster, RA Stine Lecture Notes-Monograph Series, 65-134, 2001	632	2001
Filtering and forecasting with misspecified ARCH models I & II: Getting the right variance with the wrong model DB Nelson, DP Foster Journal of econometrics 52 (1-2), 61-90, 1992	517*	1992
Calibrated learning and correlated equilibrium DP Foster, RV Vohra Games and Economic Behavior 21 (1-2), 40-55, 1997	482	1997
Regret in the on-line decision problem DP Foster, R Vohra Games and Economic Behavior 29 (1-2), 7-35, 1999	431	1999
A spectral algorithm for latent dirichlet allocation A Anandkumar, DP Foster, DJ Hsu, SM Kakade, YK Liu Advances in neural information processing systems 25, 2012	405	2012
Asymptotic filtering theory for multivariate ARCH models DB Nelson National Bureau of Economic Research, 1994	404	1994
Continuous record asymptotics for rolling sample variance estimators DP Foster, DB Nelson National Bureau of Economic Research, 1994	399	1994
Asymptotic calibration DP Foster, RV Vohra Biometrika 85 (2), 379-390, 1998	392	1998
Graininess of judgment under uncertainty: An accuracy-informativeness trade-off. I Yaniv, DP Foster Journal of Experimental Psychology: General 124 (4), 424, 1995	350	1995
Multi-view learning of word embeddings via cca P Dhillon, DP Foster, L Ungar Advances in neural information processing systems 24, 2011	329	2011
Precision and accuracy of judgmental estimation I Yaniv, DP Foster Journal of behavioral decision making 10 (1), 21-32, 1997	258	1997
Multi-view regression via canonical correlation analysis SM Kakade, DP Foster International Conference on Computational Learning Theory, 82-96, 2007	256	2007
Variable selection in data mining: Building a predictive model for bankruptcy DP Foster, RA Stine Journal of the American Statistical Association 99 (466), 303-313, 2004	235	2004
Stochastic convex optimization with bandit feedback A Agarwal, DP Foster, DJ Hsu, SM Kakade, A Rakhlin Advances in Neural Information Processing Systems 24, 2011	226	2011
An operational measure of riskiness DP Foster, S Hart Journal of Political Economy 117 (5), 785-814, 2009	222	2009
Deep factors for forecasting Y Wang, A Smola, D Maddix, J Gasthaus, D Foster, T Januschowski International conference on machine learning, 6607-6617, 2019	218	2019

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