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
Judah CohenAtmospheric and Environmental Research, Massachusetts Institute of TechnologyVerified email at aer.com
Ameet TalwalkarCMU, DatadogVerified email at cmu.edu
Paulo OrensteinIMPAVerified email at impa.br
Vasilis SyrgkanisAssistant Professor, Stanford UniversityVerified email at stanford.edu
Alessandro BarpUniversity College London, The Alan Turing InstituteVerified email at ucl.ac.uk
Benjamin NachmanStaff Scientist, Lawrence Berkeley National LaboratoryVerified email at lbl.gov
Soukayna MouatadidUniversity of TorontoVerified email at cs.toronto.edu
François-Xavier BriolAssociate Professor in Statistical Science, UCLVerified email at ucl.ac.uk
Luke de OliveiraMetaVerified email at meta.com
Chris. J. OatesNewcastle UniversityVerified email at ncl.ac.uk
Genevieve FlaspohlerChief Data Officer, nLine; PhD MIT & the Woods Hole Oceanographic InstitutionVerified email at nline.io
Raaz DwivediAssistant Professor, Cornell TechVerified email at cornell.edu
Nicolò FusiPartner Researcher, Microsoft ResearchVerified email at microsoft.com
Miruna OprescuCornell UniversityVerified email at cornell.edu
Joel A. TroppSteele Family Professor of Applied & Computational Mathematics, CaltechVerified email at caltech.edu
Wilson Ye ChenThe University of SydneyVerified email at sydney.edu.au
Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu

Lester Mackey

Microsoft Research

Verified email at microsoft.com - Homepage

Statistical Machine Learning


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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	463	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	402	2020
Deflation methods for sparse pca L Mackey Advances in neural information processing systems 21, 1017-1024, 2009	326	2009
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	324*	2014
Feature-weighted linear stacking J Sill, G Takács, L Mackey, D Lin arXiv preprint arXiv:0911.0460, 2009	324	2009
Measuring sample quality with kernels. arXiv preprint J Gorham, L Mackey arXiv preprint arXiv:1703.01717, 2017	260*	2017
Divide-and-Conquer Matrix Factorization L Mackey, A Talwalkar, MI Jordan Arxiv preprint arXiv:1107.0789, 2011	253	2011
Measuring sample quality with Stein's method J Gorham, L Mackey Advances in neural information processing systems 28, 2015	250	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	222	2015
Matrix concentration inequalities via the method of exchangeable pairs L Mackey, MI Jordan, RY Chen, B Farrell, JA Tropp	183	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	141	2006
Measuring sample quality with diffusions J Gorham, AB Duncan, SJ Vollmer, L Mackey arXiv preprint arXiv:1611.06972, 2016	125	2016
Global non-convex optimization with discretized diffusions MA Erdogdu, L Mackey, O Shamir Advances in Neural Information Processing Systems 31, 2018	124	2018
Corrupted sensing: Novel guarantees for separating structured signals R Foygel, L Mackey IEEE Transactions on Information Theory 60 (2), 1223-1247, 2014	121	2014
On the consistency of ranking algorithms J Duchi, L Mackey, M Jordan International Conference on Machine Learning (ICML), 2010	121	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	116	2020
Stein points WY Chen, L Mackey, J Gorham, FX Briol, C Oates International Conference on Machine Learning, 844-853, 2018	112	2018
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	109	2019
Minimum Stein discrepancy estimators A Barp, FX Briol, A Duncan, M Girolami, L Mackey Advances in Neural Information Processing Systems 32, 2019	107	2019
Do Language Models Know When They're Hallucinating References? A Agrawal, M Suzgun, L Mackey, AT Kalai arXiv preprint arXiv:2305.18248, 2023	105	2023

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