Diaz, Mateo

4 publications

AISTATS 2024 Any-Dimensional Equivariant Neural Networks Eitan Levin, Mateo Diaz
JMLR 2024 Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality Joshua Cutler, Mateo Díaz, Dmitriy Drusvyatskiy
NeurIPS 2021 Practical Large-Scale Linear Programming Using Primal-Dual Hybrid Gradient David Applegate, Mateo Diaz, Oliver Hinder, Haihao Lu, Miles Lubin, Brendan O'Donoghue, Warren Schudy
NeurIPS 2020 Efficient Clustering for Stretched Mixtures: Landscape and Optimality Kaizheng Wang, Yuling Yan, Mateo Diaz