| Multi-view Learning of Word Embeddings via CCA P Dhillon, DP Foster, LH Ungar NIPS, 199-207, 2011 | 275 | 2011 |
| Faster ridge regression via the subsampled randomized hadamard transform Y Lu, P Dhillon, DP Foster, L Ungar NIPS, 369-377, 2013 | 107 | 2013 |
| Two step CCA: A new spectral method for estimating vector models of words P Dhillon, J Rodu, D Foster, L Ungar ICML, 2012 | 78* | 2012 |
| Eigenwords: Spectral Word Embeddings PS Dhillon, DP Foster, LH Ungar JMLR, 2015 | 76 | 2015 |
| New subsampling algorithms for fast least squares regression P Dhillon, Y Lu, DP Foster, L Ungar NIPS, 360-368, 2013 | 74 | 2013 |
| A risk comparison of ordinary least squares vs ridge regression PS Dhillon, DP Foster, SM Kakade, LH Ungar JMLR 14 (1), 1505-1511, 2013 | 41 | 2013 |
| Social influence maximization under empirical influence models S Aral, PS Dhillon Nature Human Behaviour 2 (6), 375, 2018 | 37 | 2018 |
| Spectral Dependency Parsing with Latent Variables PS Dhillon, J Rodu, M Collins, DP Foster, LH Ungar EMNLP-CoNLL, 2012 | 37 | 2012 |
| Combining appearance and motion for human action classification in videos PS Dhillon, S Nowozin, CH Lampert IEEE CVPR-W, 22-29, 2009 | 30 | 2009 |
| Interdependence and the Cost of Uncoordinated Responses to COVID-19 D Holtz, M Zhao, SG Benzell, CY Cao, MA Rahimian, J Yang, JNL Allen, ... Proceedings of the National Academy of Sciences (PNAS), 2020 | 24 | 2020 |
| Eigenanatomy improves detection power for longitudinal cortical change B Avants, P Dhillon, BM Kandel, PA Cook, CT McMillan, M Grossman, ... MICCAI, 2012 | 22 | 2012 |
| Transfer Learning, Feature Selection and Word Sense Disambguation PS Dhillon, LH Ungar ACL-IJCNLP, 257-260, 2009 | 18* | 2009 |
| Subject-specific functional parcellation via Prior Based Eigenanatomy PS Dhillon, DA Wolk, SR Das, LH Ungar, JC Gee, BB Avants NeuroImage 99, 14-27, 2014 | 15 | 2014 |
| Minimum Description Length Penalization for Group and Multi-Task Sparse Learning PS Dhillon, D Foster, LH Ungar JMLR 12, 525-564, 2011 | 15 | 2011 |
| Learning better data representation using inference-driven metric learning PS Dhillon, PP Talukdar, K Crammer ACL, 377-381, 2010 | 15* | 2010 |
| Deterministic Annealing for Semi-Supervised Structured Output Learning PS Dhillon, SS Keerthi, K Bellare, O Chapelle, S Sundararajan AISTATS, 2012 | 14 | 2012 |
| Semi-supervised Multi-task Learning of Structured Prediction Models for Web Information Extraction PS Dhillon, S Sundararajan, SS Keerthi CIKM, 2011 | 12 | 2011 |
| Inference-driven metric learning for graph construction PS Dhillon, PP Talukdar, K Crammer NESCAI, 2010 | 12 | 2010 |
| Mapping of pain circuitry in early post-natal development using manganese-enhanced MRI in rats MM Sperry, BM Kandel, S Wehrli, KN Bass, SR Das, PS Dhillon, JC Gee, ... Neuroscience 352, 180-189, 2017 | 11 | 2017 |
| Unpacking novelty: The anatomy of vision advantages S Aral, P Dhillon Available at SSRN 2388254, 2020 | 9* | 2020 |
Lyle UngarUniversity of PennsylvaniaVerified email at cis.upenn.edu
