Mateo Díaz

According to our database1, Mateo Díaz authored at least 14 papers between 2017 and 2024.

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Bibliography

2024
Infeasibility Detection with Primal-Dual Hybrid Gradient for Large-Scale Linear Programming.
SIAM J. Optim., March, 2024

Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality.
J. Mach. Learn. Res., 2024

Any-dimensional equivariant neural networks.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Optimal Convergence Rates for the Proximal Bundle Method.
SIAM J. Optim., 2023

Robust, randomized preconditioning for kernel ridge regression.
CoRR, 2023

2022
Escaping Strict Saddle Points of the Moreau Envelope in Nonsmooth Optimization.
SIAM J. Optim., September, 2022

Optimization of vaccination for COVID-19 in the midst of a pandemic.
Networks Heterog. Media, 2022

2021
Low-Rank Matrix Recovery with Composite Optimization: Good Conditioning and Rapid Convergence.
Found. Comput. Math., 2021

Clustering a Mixture of Gaussians with Unknown Covariance.
CoRR, 2021

Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Efficient Clustering for Stretched Mixtures: Landscape and Optimality.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Local angles and dimension estimation from data on manifolds.
J. Multivar. Anal., 2019

Composite optimization for robust blind deconvolution.
CoRR, 2019

2017
In Search of Balance: The Challenge of Generating Balanced Latin Rectangles.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2017


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