| Stochastic evolutionary game dynamics D Foster, P Young Theoretical population biology 38 (2), 219-232, 1990 | 1273 | 1990 |
| Clustering methods for collaborative filtering LH Ungar, DP Foster AAAI workshop on recommendation systems 1, 114-129, 1998 | 1177 | 1998 |
| The risk inflation criterion for multiple regression DP Foster, E George The Annals of Statistics, 1947-1975, 1994 | 841 | 1994 |
| Calibration and empirical Bayes variable selection EI George, DP Foster Biometrika 87 (4), 731-747, 2000 | 706 | 2000 |
| 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 | 494* | 1992 |
| Calibrated learning and correlated equilibrium DP Foster, RV Vohra Games and Economic Behavior 21 (1-2), 40, 1997 | 459 | 1997 |
| Regret in the on-line decision problem DP Foster, R Vohra Games and Economic Behavior 29 (1-2), 7-35, 1999 | 407 | 1999 |
| Asymptotic filtering theory for multivariate ARCH models DB Nelson National Bureau of Economic Research, 1994 | 393 | 1994 |
| 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 | 389 | 2012 |
| Continuous record asymptotics for rolling sample variance estimators DP Foster, DB Nelson National Bureau of Economic Research, 1994 | 389 | 1994 |
| Asymptotic calibration DP Foster, RV Vohra Biometrika 85 (2), 379-390, 1998 | 357 | 1998 |
| Graininess of judgment under uncertainty: An accuracy-informativeness trade-off. I Yaniv, DP Foster Journal of Experimental Psychology: General 124 (4), 424, 1995 | 337 | 1995 |
| Multi-view learning of word embeddings via cca P Dhillon, DP Foster, L Ungar Advances in neural information processing systems 24, 2011 | 319 | 2011 |
| Precision and accuracy of judgmental estimation I Yaniv, DP Foster Journal of behavioral decision making 10 (1), 21-32, 1997 | 252 | 1997 |
| Multi-view regression via canonical correlation analysis SM Kakade, DP Foster International Conference on Computational Learning Theory, 82-96, 2007 | 246 | 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 | 224 | 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 | 207 | 2011 |
| An operational measure of riskiness DP Foster, S Hart Journal of Political Economy 117 (5), 785-814, 2009 | 207 | 2009 |
| Regret testing: Learning to play Nash equilibrium without knowing you have an opponent D Foster, HP Young Theoretical Economics 1 (3), 341-367, 2006 | 192 | 2006 |
| Deep factors for forecasting Y Wang, A Smola, D Maddix, J Gasthaus, D Foster, T Januschowski International conference on machine learning, 6607-6617, 2019 | 181 | 2019 |
Lyle UngarUniversity of PennsylvaniaVerified email at cis.upenn.edu
