Damek Davis

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Dmitriy DrusvyatskiyUniversity of WashingtonVerificeret mail på uw.edu
Wotao YinDAMO Academy, Alibaba Group USVerificeret mail på alibaba-inc.com
Vasilis CharisopoulosPostdoctoral Scholar, University of ChicagoVerificeret mail på cornell.edu
Mateo DíazJohns Hopkins UniversityVerificeret mail på jhu.edu
Yudong ChenAssociate Professor, University of Wisconsin-MadisonVerificeret mail på wisc.edu
Liwei JiangPostdoc at Georgia Institute of TechnologyVerificeret mail på gatech.edu
Courtney PaquetteGoogle Research, Brain TeamVerificeret mail på u.washington.edu
Douglas R. IsaacsonAerospace Engineer, NASAVerificeret mail på nasa.gov
Alexander SadovskyAerospace Engineer, NASAVerificeret mail på nasa.gov
Kellie J. MacPheeFred Hutchinson Cancer Center, Vaccine & Infectious Disease DivisionVerificeret mail på fredhutch.org
Aleksandr AravkinUniversity of WashingtonVerificeret mail på uw.edu
Sham M KakadeHarvard UniversityVerificeret mail på seas.harvard.edu
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityVerificeret mail på princeton.edu
Luis M. Briceño-AriasUniversidad Técnica Federico Santa MaríaVerificeret mail på usm.cl
Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinVerificeret mail på utexas.edu
Jeongyeol KwonUniversity of Wisconsin-MadisonVerificeret mail på wisc.edu
Benjamin GrimmerAssistant Professor, Johns Hopkins UniversityVerificeret mail på jhu.edu
Madeleine UdellAssistant Professor, Management Science and Engineering, Stanford UniversityVerificeret mail på stanford.edu
Junyu ZhangIndustrial Systems Engineering and Management, National University of SingaporeVerificeret mail på nus.edu.sg
Lin XiaoMeta AI, FAIR (Fundamental AI Research)Verificeret mail på meta.com

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Damek Davis

Visiting Associate Professor, Statistics and Data Science, University of Pennsylvania

Verificeret mail på cornell.edu - Startside

Optimization Machine Learning


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Stochastic model-based minimization of weakly convex functions D Davis, D Drusvyatskiy SIAM Journal on Optimization 29 (1), 207-239, 2019	488*	2019
A Three-Operator Splitting Scheme and its Optimization Applications D Davis, W Yin Set-Valued and Variational Analysis, 2017	427	2017
Convergence rate analysis of several splitting schemes D Davis, W Yin Splitting Methods in Communication, Imaging, Science, and Engineering, 115-163, 2016	300	2016
Stochastic subgradient method converges on tame functions D Davis, D Drusvyatskiy, S Kakade, JD Lee Foundations of computational mathematics 20 (1), 119-154, 2020	288	2020
Faster convergence rates of relaxed Peaceman-Rachford and ADMM under regularity assumptions D Davis, W Yin Mathematics of Operations Research, 2017, 2014	156	2014
Subgradient methods for sharp weakly convex functions D Davis, D Drusvyatskiy, KJ MacPhee, C Paquette Journal of Optimization Theory and Applications 179 (3), 962-982, 2018	128	2018
Proximally guided stochastic subgradient method for nonsmooth, nonconvex problems D Davis, B Grimmer SIAM Journal on Optimization 29 (3), 1908-1930, 2019	119	2019
The nonsmooth landscape of phase retrieval D Davis, D Drusvyatskiy, C Paquette IMA Journal of Numerical Analysis 40 (4), 2652-2695, 2020	118	2020
Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence V Charisopoulos, Y Chen, D Davis, M Díaz, L Ding, D Drusvyatskiy Foundations of Computational Mathematics, 1-89, 2021	109	2021
Forward-backward-half forward algorithm for solving monotone inclusions LM Bricen͂o-Arias, D Davis SIAM Journal on Optimization 28 (4), 2839-2871, 2018	83	2018
Convergence rate analysis of primal-dual splitting schemes D Davis SIAM Journal on Optimization 25 (3), 1912-1943, 2015	79	2015
Global convergence of the em algorithm for mixtures of two component linear regression J Kwon, W Qian, C Caramanis, Y Chen, D Davis Conference on Learning Theory, 2055-2110, 2019	77	2019
Convergence rate analysis of the forward-Douglas-Rachford splitting scheme D Davis SIAM Journal on Optimization, 2015, 2015	61	2015
The Asynchronous PALM Algorithm for Nonsmooth Nonconvex Problems D Davis arXiv preprint arXiv:1604.00526, 2016	59	2016
The sound of apalm clapping: Faster nonsmooth nonconvex optimization with stochastic asynchronous palm D Davis, B Edmunds, M Udell Advances in Neural Information Processing Systems, 226-234, 2016	51	2016
From low probability to high confidence in stochastic convex optimization D Davis, D Drusvyatskiy, L Xiao, J Zhang arXiv preprint arXiv:1907.13307, 2019	50*	2019
Trimmed Statistical Estimation via Variance Reduction A Aravkin, D Davis Mathematics of Operations Research, 2019	49*	2019
Stochastic algorithms with geometric step decay converge linearly on sharp functions D Davis, D Drusvyatskiy, V Charisopoulos Mathematical Programming 207 (1), 145-190, 2024	45	2024
A gradient sampling method with complexity guarantees for lipschitz functions in high and low dimensions D Davis, D Drusvyatskiy, YT Lee, S Padmanabhan, G Ye Advances in Neural Information Processing Systems 35, 6692-6703, 2022	44	2022
Composite optimization for robust rank one bilinear sensing V Charisopoulos, D Davis, M Díaz, D Drusvyatskiy Information and Inference: A Journal of the IMA 10 (2), 333-396, 2021	43*	2021

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