Lester Mackey

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Jackson GorhamData ScientistVerified email at whisper.ai
Ameet TalwalkarCMUVerified email at cmu.edu
Judah CohenAtmospheric and Environmental Research, Massachusetts Institute of TechnologyVerified email at aer.com
Paulo OrensteinIMPAVerified email at impa.br
Vasilis SyrgkanisAssistant Professor, Stanford UniversityVerified email at stanford.edu
Benjamin NachmanStaff Scientist, Lawrence Berkeley National LaboratoryVerified email at lbl.gov
Alessandro BarpUniversity of CambridgeVerified email at cam.ac.uk
François-Xavier BriolAssociate Professor in Statistical Science, UCLVerified email at turing.ac.uk
Michael KaganPanofsky Fellow, SLAC, Stanford UniversityVerified email at slac.stanford.edu
Luke de OliveiraMetaVerified email at meta.com
Chris. J. OatesNewcastle UniversityVerified email at ncl.ac.uk
Joel A. TroppSteele Family Professor of Applied & Computational Mathematics, CaltechVerified email at caltech.edu
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Nicolo FusiPartner Researcher, Microsoft ResearchVerified email at microsoft.com
Wilson Ye ChenThe University of SydneyVerified email at sydney.edu.au
Soukayna MouatadidUniversity of TorontoVerified email at cs.toronto.edu
Neil Zhenqiang GongAssistant Professor, Duke UniversityVerified email at duke.edu
Emil StefanovGraduate Student, UC BerkeleyVerified email at berkeley.edu
Richard ShinPrincipal Researcher, Microsoft (Semantic Machines)Verified email at microsoft.com

Lester Mackey

Microsoft Research

Verified email at microsoft.com - Homepage

Statistical Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	397	2016
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	313*	2014
Deflation methods for sparse pca L Mackey Advances in neural information processing systems 21, 1017-1024, 2009	290	2009
Feature-weighted linear stacking J Sill, G Takács, L Mackey, D Lin arXiv preprint arXiv:0911.0460, 2009	288	2009
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	283	2020
Divide-and-Conquer Matrix Factorization L Mackey, A Talwalkar, MI Jordan Arxiv preprint arXiv:1107.0789, 2011	247	2011
Measuring sample quality with kernels. arXiv preprint J Gorham, L Mackey arXiv preprint arXiv:1703.01717, 2017	217*	2017
Measuring sample quality with Stein's method J Gorham, L Mackey Advances in neural information processing systems 28, 2015	213	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	202	2015
Matrix concentration inequalities via the method of exchangeable pairs L Mackey, MI Jordan, RY Chen, B Farrell, JA Tropp	168	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	139	2006
Measuring sample quality with diffusions J Gorham, AB Duncan, SJ Vollmer, L Mackey arXiv preprint arXiv:1611.06972, 2016	113	2016
Corrupted sensing: Novel guarantees for separating structured signals R Foygel, L Mackey IEEE Transactions on Information Theory 60 (2), 1223-1247, 2014	112	2014
Global non-convex optimization with discretized diffusions MA Erdogdu, L Mackey, O Shamir Advances in Neural Information Processing Systems 31, 2018	109	2018
On the consistency of ranking algorithms J Duchi, L Mackey, M Jordan International Conference on Machine Learning (ICML), 2010	106	2010
Stein points WY Chen, L Mackey, J Gorham, FX Briol, C Oates International Conference on Machine Learning, 844-853, 2018	100	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	86	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	83	2019
Minimum stein discrepancy estimators A Barp, FX Briol, A Duncan, M Girolami, L Mackey Advances in Neural Information Processing Systems 32, 2019	81	2019
Combinatorial clustering and the beta negative binomial process T Broderick, L Mackey, J Paisley, MI Jordan IEEE transactions on pattern analysis and machine intelligence 37 (2), 290-306, 2014	80	2014

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