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
Alessandro BarpUniversity of CambridgeVerified email at cam.ac.uk
Benjamin NachmanStaff Scientist, Lawrence Berkeley National LaboratoryVerified email at lbl.gov
Chris. J. OatesNewcastle UniversityVerified email at ncl.ac.uk
François-Xavier BriolLecturer in Statistical Science, UCLVerified email at turing.ac.uk
Michael KaganPanofsky Fellow, SLAC, Stanford UniversityVerified email at slac.stanford.edu
Luke de OliveiraTwilio, Lawrence Berkeley National LaboratoryVerified email at lbl.gov
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
Wilson Ye ChenThe University of SydneyVerified email at sydney.edu.au
Nicolo FusiPartner Researcher, Microsoft ResearchVerified email at microsoft.com
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
Ling HuangAHI FintechVerified email at cs.berkeley.edu

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	358	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	305*	2014
Deflation methods for sparse pca L Mackey Advances in neural information processing systems 21, 1017-1024, 2009	276	2009
Feature-weighted linear stacking J Sill, G Takács, L Mackey, D Lin arXiv preprint arXiv:0911.0460, 2009	273	2009
Divide-and-Conquer Matrix Factorization L Mackey, A Talwalkar, MI Jordan Arxiv preprint arXiv:1107.0789, 2011	241	2011
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	214	2020
Measuring sample quality with Stein's method J Gorham, L Mackey Advances in Neural Information Processing Systems 28, 2015	191	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	188	2015
Measuring sample quality with kernels. arXiv preprint J Gorham, L Mackey arXiv preprint arXiv:1703.01717, 2017	182*	2017
Matrix concentration inequalities via the method of exchangeable pairs L Mackey, MI Jordan, RY Chen, B Farrell, JA Tropp	161	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	135	2006
Corrupted sensing: Novel guarantees for separating structured signals R Foygel, L Mackey IEEE Transactions on Information Theory 60 (2), 1223-1247, 2014	108	2014
Measuring sample quality with diffusions J Gorham, AB Duncan, SJ Vollmer, L Mackey arXiv preprint arXiv:1611.06972, 2016	104	2016
On the consistency of ranking algorithms J Duchi, L Mackey, M Jordan International Conference on Machine Learning (ICML), 2010	100	2010
Global non-convex optimization with discretized diffusions MA Erdogdu, L Mackey, O Shamir Advances in Neural Information Processing Systems 31, 2018	94	2018
Stein points WY Chen, L Mackey, J Gorham, FX Briol, C Oates International Conference on Machine Learning, 844-853, 2018	91	2018
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	76	2014
Mixed membership matrix factorization L Mackey, D Weiss, MI Jordan Proc. ICML, 2010	75	2010
Minimax estimation of conditional moment models N Dikkala, G Lewis, L Mackey, V Syrgkanis Advances in Neural Information Processing Systems 33, 12248-12262, 2020	66	2020
Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order sets JH Chen, MK Goldstein, SM Asch, L Mackey, RB Altman Journal of the American Medical Informatics Association 24 (3), 472-480, 2017	66	2017

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