| Jet-images—deep learning edition L de Oliveira, M Kagan, L Mackey, B Nachman, A Schwartzman Journal of High Energy Physics 2016 (7), 1-32, 2016 | 430 | 2016 |
| Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ... JAMA network open 3 (3), e200265-e200265, 2020 | 335 | 2020 |
| Joint link prediction and attribute inference using a social-attribute network NZ Gong, A Talwalkar, L Mackey, L Huang, ECR Shin, E Stefanov, E Shi, ... ACM Transactions on Intelligent Systems and Technology (TIST) 5 (2), 1-20, 2014 | 323* | 2014 |
| Deflation methods for sparse pca L Mackey Advances in neural information processing systems 21, 1017-1024, 2009 | 310 | 2009 |
| Feature-weighted linear stacking J Sill, G Takács, L Mackey, D Lin arXiv preprint arXiv:0911.0460, 2009 | 307 | 2009 |
| Divide-and-Conquer Matrix Factorization L Mackey, A Talwalkar, MI Jordan Arxiv preprint arXiv:1107.0789, 2011 | 245 | 2011 |
| Measuring sample quality with kernels. arXiv preprint J Gorham, L Mackey arXiv preprint arXiv:1703.01717, 2017 | 231* | 2017 |
| Measuring sample quality with Stein's method J Gorham, L Mackey Advances in neural information processing systems 28, 2015 | 230 | 2015 |
| Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression R Küffner, N Zach, R Norel, J Hawe, D Schoenfeld, L Wang, G Li, L Fang, ... Nature biotechnology 33 (1), 51-57, 2015 | 211 | 2015 |
| Matrix concentration inequalities via the method of exchangeable pairs L Mackey, MI Jordan, RY Chen, B Farrell, JA Tropp The Annals of Probability, 906-945, 2014 | 170 | 2014 |
| Participatory design with proxies: developing a desktop-PDA system to support people with aphasia JL Boyd-Graber, SS Nikolova, KA Moffatt, KC Kin, JY Lee, LW Mackey, ... Proceedings of the SIGCHI conference on Human Factors in computing systems …, 2006 | 140 | 2006 |
| Measuring sample quality with diffusions J Gorham, AB Duncan, SJ Vollmer, L Mackey arXiv preprint arXiv:1611.06972, 2016 | 120 | 2016 |
| Global non-convex optimization with discretized diffusions MA Erdogdu, L Mackey, O Shamir Advances in Neural Information Processing Systems 31, 2018 | 119 | 2018 |
| Corrupted sensing: Novel guarantees for separating structured signals R Foygel, L Mackey IEEE Transactions on Information Theory 60 (2), 1223-1247, 2014 | 115 | 2014 |
| On the consistency of ranking algorithms J Duchi, L Mackey, M Jordan International Conference on Machine Learning (ICML), 2010 | 112 | 2010 |
| Stein points WY Chen, L Mackey, J Gorham, FX Briol, C Oates International Conference on Machine Learning, 844-853, 2018 | 104 | 2018 |
| Minimax estimation of conditional moment models N Dikkala, G Lewis, L Mackey, V Syrgkanis Advances in Neural Information Processing Systems 33, 12248-12262, 2020 | 98 | 2020 |
| S2S reboot: An argument for greater inclusion of machine learning in subseasonal to seasonal forecasts J Cohen, D Coumou, J Hwang, L Mackey, P Orenstein, S Totz, ... Wiley Interdisciplinary Reviews: Climate Change 10 (2), e00567, 2019 | 93 | 2019 |
| Minimum stein discrepancy estimators A Barp, FX Briol, A Duncan, M Girolami, L Mackey Advances in Neural Information Processing Systems 32, 2019 | 91 | 2019 |
| Improving subseasonal forecasting in the western US with machine learning J Hwang, P Orenstein, J Cohen, K Pfeiffer, L Mackey Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 83 | 2019 |
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
