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
Ameet TalwalkarCMU and Determined AIVerified email at cmu.edu
Jackson GorhamData ScientistVerified email at whisper.ai
Benjamin NachmanStaff Scientist, Lawrence Berkeley National LaboratoryVerified email at lbl.gov
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Neil Zhenqiang GongAssistant Professor, Duke UniversityVerified email at duke.edu
Emil StefanovGraduate Student, UC BerkeleyVerified email at berkeley.edu
Richard ShinUC BerkeleyVerified email at berkeley.edu
Ling HuangAHI FintechVerified email at cs.berkeley.edu
Michael KaganPanofsky Fellow, SLAC, Stanford UniversityVerified email at slac.stanford.edu
Luke de OliveiraTwilio, Lawrence Berkeley National LaboratoryVerified email at lbl.gov
Vasilis SyrgkanisMicrosoft ResearchVerified email at microsoft.com
Joel A. TroppSteele Family Professor of Applied & Computational Mathematics, CaltechVerified email at caltech.edu
John DuchiAssistant Professor of Statistics and Electrical Engineering, Stanford UniversityVerified email at stanford.edu
François-Xavier BriolLecturer in Statistical Science, UCLVerified email at turing.ac.uk
Chris. J. OatesNewcastle UniversityVerified email at ncl.ac.uk
Wilson Ye ChenThe University of SydneyVerified email at sydney.edu.au
Tamara BroderickAssociate Professor of EECS, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
Rina Foygel BarberUniversity of ChicagoVerified email at uchicago.edu
Judah CohenAtmospheric and Environmental Research, Massachusetts Institute of TechnologyVerified email at aer.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	264	2016
Deflation methods for sparse pca L Mackey Advances in neural information processing systems 21, 1017-1024, 2009	242	2009
Feature-weighted linear stacking J Sill, G Takács, L Mackey, D Lin arXiv preprint arXiv:0911.0460, 2009	216	2009
Divide-and-Conquer Matrix Factorization L Mackey, A Talwalkar, MI Jordan Arxiv preprint arXiv:1107.0789, 2011	215	2011
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	172	2014
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	156	2015
Matrix concentration inequalities via the method of exchangeable pairs L Mackey, MI Jordan, RY Chen, B Farrell, JA Tropp Annals of Probability 42 (3), 906-945, 2014	137	2014
Measuring sample quality with Stein's method J Gorham, L Mackey arXiv preprint arXiv:1506.03039, 2015	117	2015
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	114	2006
Measuring sample quality with kernels. arXiv preprint J Gorham, L Mackey arXiv preprint arXiv:1703.01717, 2017	100*	2017
Corrupted sensing: Novel guarantees for separating structured signals R Foygel, L Mackey IEEE Transactions on Information Theory 60 (2), 1223-1247, 2014	100	2014
On the consistency of ranking algorithms J Duchi, L Mackey, M Jordan International Conference on Machine Learning (ICML), 2010	95	2010
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	72	2014
Jointly predicting links and inferring attributes using a social-attribute network (san) NZ Gong, A Talwalkar, L Mackey, L Huang, ECR Shin, E Stefanov, ... arXiv preprint arXiv:1112.3265, 2011	71	2011
Mixed membership matrix factorization L Mackey, D Weiss, MI Jordan Proc. ICML, 2010	71	2010
Measuring sample quality with diffusions J Gorham, AB Duncan, SJ Vollmer, L Mackey arXiv preprint arXiv:1611.06972, 2016	66	2016
Fault-tolerant typed assembly language F Perry, L Mackey, GA Reis, J Ligatti, DI August, D Walker Proceedings of the 28th ACM SIGPLAN Conference on Programming Language …, 2007	58	2007
Stein points WY Chen, L Mackey, J Gorham, FX Briol, C Oates International Conference on Machine Learning, 844-853, 2018	54	2018
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	52	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	47	2017

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