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Lester Mackey
Associate Professor
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My current research interests include statistical machine learning, high-dimensional statistics, algorithms and data structures, and concentration inequalities. Lately, I've been developing and analyzing algorithms for ranking, admixtures, matrix factorization, and collaborative filtering and crafting concentration inequalities for random matrices. I'm also organizing a working group on Statistics for Social Good. My interest lies, more generally, in problems that bridge applications and theory and that involve drawing inferences from large, structured datasets.
Papers68 papers
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ICLR 2021, (2021)
Julie Wu, Jordan Bryan, Samuel M Rubinstein, Lucy Wang,Michele Lenoue-Newton, Raed Zuhour, Mia Levy, Christine Micheel, Yaomin Xu, Suresh K Bhavnani,Lester Mackey,Jeremy L Warner
JCO precision oncology, (2020)
NIPS 2020, (2020)
AISTATS, pp.4530-4540, (2020)
NIPS 2020, (2020)
Riabiz Marina, Chen Wilson, Cockayne Jon, Swietach Pawel, Niederer Steven A.,Mackey Lester,Oates Chris. J.
ANNALS OF APPLIED PROBABILITY, no. 5 (2019): 2884-2928
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 13533-13543
Cited by10EIBibtex
knowledge discovery and data mining, (2019)
Cited by7Bibtex
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 7746-7758
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 12964-12976
Wilson Ye Chen, Alessandro Barp,François-Xavier Briol, Jackson Gorham,Mark Girolami,Lester Mackey,Chris. J. Oates
international conference on machine learning, (2019)
arXiv: Optimization and Control, (2019)
Bibtex
Wiley Interdisciplinary Reviews: Climate Change, no. 2 (2019)
Cited by10Bibtex
arXiv: Computer Vision and Pattern Recognition, (2018)
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