| Multi-view Learning of Word Embeddings via CCA P Dhillon, DP Foster, LH Ungar NIPS, 199-207, 2011 | 325 | 2011 |
| 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) 117 (33), 19837-19843, 2020 | 190 | 2020 |
| Faster ridge regression via the subsampled randomized hadamard transform Y Lu, P Dhillon, DP Foster, L Ungar NIPS, 369-377, 2013 | 154 | 2013 |
| Social influence maximization under empirical influence models S Aral, PS Dhillon Nature Human Behaviour 2 (6), 375-382, 2018 | 113 | 2018 |
| Eigenwords: Spectral Word Embeddings PS Dhillon, DP Foster, LH Ungar JMLR 16 (95), 3035-3078, 2015 | 101 | 2015 |
| New subsampling algorithms for fast least squares regression P Dhillon, Y Lu, DP Foster, L Ungar NIPS, 360-368, 2013 | 99 | 2013 |
| Two step CCA: A new spectral method for estimating vector models of words P Dhillon, J Rodu, D Foster, L Ungar ICML, 67–74, 2012 | 87 | 2012 |
| Targeting for long-term outcomes J Yang, D Eckles, P Dhillon, S Aral Management Science, 2023 | 62 | 2023 |
| Digital Paywall Design: Implications for Content Demand & Subscriptions S Aral, P Dhillon Management Science 67 (4), 2381–2402, 2021 | 54* | 2021 |
| A risk comparison of ordinary least squares vs ridge regression PS Dhillon, DP Foster, SM Kakade, LH Ungar JMLR 14 (1), 1505-1511, 2013 | 54 | 2013 |
| Is deep learning a game changer for marketing analytics? GL Urban, A Timoshenko, PS Dhillon, JR Hauser MIT Sloan Management Review, 2019 | 38 | 2019 |
| Spectral Dependency Parsing with Latent Variables PS Dhillon, J Rodu, M Collins, DP Foster, LH Ungar EMNLP-CoNLL, 205-213, 2012 | 37 | 2012 |
| What (Exactly) is Novelty in Networks? Unpacking the Vision Advantages of Brokers, Bridges, and Weak Ties. S Aral, PS Dhillon Management Science 69 (2), 1092-1115, 2023 | 34* | 2023 |
| Combining appearance and motion for human action classification in videos PS Dhillon, S Nowozin, CH Lampert IEEE CVPR-W, 22-29, 2009 | 34 | 2009 |
| Modeling dynamic user interests: A neural matrix factorization approach PS Dhillon, S Aral Marketing science 40 (6), 1059-1080, 2021 | 24 | 2021 |
| Eigenanatomy improves detection power for longitudinal cortical change B Avants, P Dhillon, BM Kandel, PA Cook, CT McMillan, M Grossman, ... MICCAI, 206-213, 2012 | 24 | 2012 |
| Learning better data representation using inference-driven metric learning PS Dhillon, PP Talukdar, K Crammer ACL, 377-381, 2010 | 23* | 2010 |
| Transfer Learning, Feature Selection and Word Sense Disambguation PS Dhillon, LH Ungar ACL-IJCNLP, 257-260, 2009 | 23 | 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 | 21 | 2014 |
| Minimum Description Length Penalization for Group and Multi-Task Sparse Learning PS Dhillon, D Foster, LH Ungar JMLR 12, 525-564, 2011 | 21 | 2011 |
Lyle UngarUniversity of Pennsylvania在 cis.upenn.edu 的电子邮件经过验证
