Damek Davis
Damek Davis
Assistant Professor, Operations Research and Information Engineering, Cornell
Correu electrònic verificat a cornell.edu - Pàgina d'inici
Citada per
Citada per
Convergence rate analysis of several splitting schemes
D Davis, W Yin
Splitting Methods in Communication, Imaging, Science, and Engineering, 115-163, 2016
A Three-Operator Splitting Scheme and its Optimization Applications
D Davis, W Yin
Set-Valued and Variational Analysis, 2017
Stochastic model-based minimization of weakly convex functions
D Davis, D Drusvyatskiy
SIAM Journal on Optimization 29 (1), 207-239, 2019
Faster convergence rates of relaxed Peaceman-Rachford and ADMM under regularity assumptions
D Davis, W Yin
Mathematics of Operations Research, 2017, 2014
Stochastic subgradient method converges on tame functions
D Davis, D Drusvyatskiy, S Kakade, JD Lee
Foundations of computational mathematics 20 (1), 119-154, 2020
Convergence rate analysis of primal-dual splitting schemes
D Davis
SIAM Journal on Optimization 25 (3), 1912-1943, 2015
Proximally guided stochastic subgradient method for nonsmooth, nonconvex problems
D Davis, B Grimmer
SIAM Journal on Optimization 29 (3), 1908-1930, 2019
The nonsmooth landscape of phase retrieval
D Davis, D Drusvyatskiy, C Paquette
IMA Journal of Numerical Analysis 40 (4), 2652-2695, 2020
Forward-backward-half forward algorithm for solving monotone inclusions
LM Bricen͂o-Arias, D Davis
SIAM Journal on Optimization 28 (4), 2839-2871, 2018
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
The Asynchronous PALM Algorithm for Nonsmooth Nonconvex Problems
D Davis
arXiv preprint arXiv:1604.00526, 2016
Convergence rate analysis of the forward-Douglas-Rachford splitting scheme
D Davis
SIAM Journal on Optimization, 2015, 2015
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
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
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
Trimmed Statistical Estimation via Variance Reduction
A Aravkin, D Davis
Mathematics of Operations Research, 2019
Multi-view feature engineering and learning
J Dong, N Karianakis, D Davis, J Hernandez, J Balzer, S Soatto
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
Composite optimization for robust blind deconvolution
V Charisopoulos, D Davis, M Díaz, D Drusvyatskiy
arXiv preprint arXiv:1901.01624, 2019
Stochastic algorithms with geometric step decay converge linearly on sharp functions
D Davis, D Drusvyatskiy, V Charisopoulos
arXiv preprint arXiv:1907.09547, 2019
Stochastic model-based minimization under high-order growth
D Davis, D Drusvyatskiy, KJ MacPhee
arXiv preprint arXiv:1807.00255, 2018
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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