Mateo Díaz

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Rapid Convergence

Infeasible Interior Point

Variational Inequalities

Top Venues

Publications

David L. Applegate, Mateo Díaz, Haihao Lu, Miles Lubin
Infeasibility Detection with Primal-Dual Hybrid Gradient for Large-Scale Linear Programming. SIAM J. Optim. 34 (1) (2024)
Eitan Levin, Mateo Díaz
Any-dimensional equivariant neural networks. AISTATS (2024)
Mateo Díaz, Benjamin Grimmer
Optimal Convergence Rates for the Proximal Bundle Method. SIAM J. Optim. 33 (2) (2023)
Eitan Levin, Mateo Díaz
Any-dimensional equivariant neural networks. CoRR (2023)
Mateo Díaz, Ethan N. Epperly, Zachary Frangella, Joel A. Tropp, Robert J. Webber
Robust, randomized preconditioning for kernel ridge regression. CoRR (2023)
Damek Davis, Mateo Díaz, Dmitriy Drusvyatskiy
Escaping Strict Saddle Points of the Moreau Envelope in Nonsmooth Optimization. SIAM J. Optim. 32 (3) (2022)
Joshua Cutler, Mateo Díaz, Dmitriy Drusvyatskiy
Stochastic approximation with decision-dependent distributions: asymptotic normality and optimality. CoRR (2022)
Qi Luo, Ryan Weightman, Sean T. McQuade, Mateo Díaz, Emmanuel Trélat, William Barbour, Dan Work, Samitha Samaranayake, Benedetto Piccoli
Optimization of vaccination for COVID-19 in the midst of a pandemic. Networks Heterog. Media 17 (3) (2022)
Vasileios Charisopoulos, Yudong Chen, Damek Davis, Mateo Díaz, Lijun Ding, Dmitriy Drusvyatskiy
Low-Rank Matrix Recovery with Composite Optimization: Good Conditioning and Rapid Convergence. Found. Comput. Math. 21 (6) (2021)
David L. Applegate, Mateo Díaz, Oliver Hinder, Haihao Lu, Miles Lubin, Brendan O'Donoghue, Warren Schudy
Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient. NeurIPS (2021)
Damek Davis, Mateo Díaz, Dmitriy Drusvyatskiy
Escaping strict saddle points of the Moreau envelope in nonsmooth optimization. CoRR (2021)
Damek Davis, Mateo Díaz, Kaizheng Wang
Clustering a Mixture of Gaussians with Unknown Covariance. CoRR (2021)
Kaizheng Wang, Yuling Yan, Mateo Díaz
Efficient Clustering for Stretched Mixtures: Landscape and Optimality. CoRR (2020)
Kaizheng Wang, Yuling Yan, Mateo Díaz
Efficient Clustering for Stretched Mixtures: Landscape and Optimality. NeurIPS (2020)
Vasileios Charisopoulos, Damek Davis, Mateo Díaz, Dmitriy Drusvyatskiy
Composite optimization for robust blind deconvolution. CoRR (2019)
Mateo Díaz, Adolfo J. Quiroz, Mauricio Velasco
Local angles and dimension estimation from data on manifolds. J. Multivar. Anal. 173 (2019)
Vasileios Charisopoulos, Yudong Chen, Damek Davis, Mateo Díaz, Lijun Ding, Dmitriy Drusvyatskiy
Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence. CoRR (2019)
Mateo Díaz, Ronan Le Bras, Carla P. Gomes
In Search of Balance: The Challenge of Generating Balanced Latin Rectangles. CPAIOR (2017)