An elementary proof of a theorem of Johnson and Lindenstrauss S Dasgupta, A Gupta Random Structures & Algorithms 22 (1), 60-65, 2003 | 1658 | 2003 |
Algorithms S Dasgupta, CH Papadimitriou, UV Vazirani McGraw-Hill Higher Education, 2008 | 1149 | 2008 |
Learning mixtures of Gaussians S Dasgupta 40th Annual Symposium on Foundations of Computer Science (Cat. No. 99CB37039 …, 1999 | 877 | 1999 |
A generalization of principal components analysis to the exponential family M Collins, S Dasgupta, RE Schapire Advances in neural information processing systems 14, 2001 | 652 | 2001 |
Hierarchical sampling for active learning S Dasgupta, D Hsu Proceedings of the 25th international conference on Machine learning, 208-215, 2008 | 607 | 2008 |
Experiments with random projection S Dasgupta arXiv preprint arXiv:1301.3849, 2013 | 542 | 2013 |
Random projection trees and low dimensional manifolds S Dasgupta, Y Freund STOC 8, 537-546, 2008 | 505 | 2008 |
Off-policy temporal-difference learning with function approximation D Precup, RS Sutton, S Dasgupta ICML, 417-424, 2001 | 458 | 2001 |
Importance weighted active learning A Beygelzimer, S Dasgupta, J Langford Proceedings of the 26th annual international conference on machine learning …, 2009 | 428 | 2009 |
PAC generalization bounds for co-training S Dasgupta, M Littman, D McAllester Advances in neural information processing systems 14, 2001 | 413 | 2001 |
Analysis of a greedy active learning strategy S Dasgupta Advances in neural information processing systems 17, 2004 | 389 | 2004 |
Classification accuracies of physical activities using smartphone motion sensors W Wu, S Dasgupta, EE Ramirez, C Peterson, GJ Norman Journal of medical Internet research 14 (5), e2208, 2012 | 384 | 2012 |
Coarse sample complexity bounds for active learning S Dasgupta Advances in neural information processing systems 18, 2005 | 380 | 2005 |
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians. S Dasgupta, L Schulman Journal of Machine Learning Research 8 (2), 2007 | 379* | 2007 |
A general agnostic active learning algorithm S Dasgupta, DJ Hsu, C Monteleoni Advances in neural information processing systems 20, 2007 | 375 | 2007 |
Performance guarantees for hierarchical clustering S Dasgupta, PM Long Journal of Computer and System Sciences 70 (4), 555-569, 2005 | 349 | 2005 |
Two faces of active learning S Dasgupta Theoretical computer science 412 (19), 1767-1781, 2011 | 321 | 2011 |
Analysis of Perceptron-Based Active Learning. S Dasgupta, AT Kalai, A Tauman Journal of Machine Learning Research 10 (2), 2009 | 317* | 2009 |
The hardness of k-means clustering S Dasgupta | 275 | 2008 |
A neural algorithm for a fundamental computing problem S Dasgupta, C Stevens, S Navlakha Science 358 (6364), 793-796, 2017 | 252 | 2017 |