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Mateo Díaz
Mateo Díaz
Caltech
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
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 21 (6), 1505-1593, 2021
592021
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
23*2021
Practical large-scale linear programming using primal-dual hybrid gradient
D Applegate, M Díaz, O Hinder, H Lu, M Lubin, B O'Donoghue, W Schudy
Advances in Neural Information Processing Systems 34, 20243-20257, 2021
152021
Efficient clustering for stretched mixtures: Landscape and optimality
K Wang, Y Yan, M Díaz
Advances in Neural Information Processing Systems 33, 21309-21320, 2020
152020
Local angles and dimension estimation from data on manifolds
M Díaz, AJ Quiroz, M Velasco
Journal of Multivariate Analysis 173, 229-247, 2019
122019
Infeasibility detection with primal-dual hybrid gradient for large-scale linear programming
D Applegate, M Díaz, H Lu, M Lubin
arXiv preprint arXiv:2102.04592, 2021
82021
Compressed sensing of data with a known distribution
M Díaz, M Junca, F Rincón, M Velasco
Applied and Computational Harmonic Analysis 45 (3), 486-504, 2018
82018
The nonsmooth landscape of blind deconvolution
M Díaz
arXiv preprint arXiv:1911.08526, 2019
62019
Clustering a Mixture of Gaussians with Unknown Covariance
D Davis, M Diaz, K Wang
arXiv preprint arXiv:2110.01602, 2021
52021
Optimal Convergence Rates for the Proximal Bundle Method
M Díaz, B Grimmer
arXiv preprint arXiv:2105.07874, 2021
52021
Optimization of vaccination for COVID-19 in the midst of a pandemic
Q Luo, R Weightman, ST McQuade, M Díaz, E Trélat, W Barbour, D Work, ...
arXiv preprint arXiv:2203.09502, 2022
32022
Escaping strict saddle points of the moreau envelope in nonsmooth optimization
D Davis, M Díaz, D Drusvyatskiy
SIAM Journal on Optimization 32 (3), 1958-1983, 2022
32022
Stochastic approximation with decision-dependent distributions: asymptotic normality and optimality
J Cutler, M Díaz, D Drusvyatskiy
arXiv preprint arXiv:2207.04173, 2022
2022
Complexity, Conditioning, and Saddle Avoidance in Nonsmooth Optimization
MD Diaz
Cornell University, 2021
2021
In Search of Balance: The Challenge of Generating Balanced Latin Rectangles
M Díaz, RL Bras, C Gomes
International Conference on AI and OR Techniques in Constraint Programming …, 2017
2017
Compressed sensing with an a priori distribution
M Díaz Díaz
Uniandes, 2016
2016
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Articles 1–16