Publications

Clustering a Mixture of Gaussians with Unknown Covariance
(with D. Davis and K. Wang) Submitted, 2021.

Escaping strict saddle points of the Moreau envelope in nonsmooth optimization
(with D. Davis and D. Drusvyatskiy) Submitted, 2021.

Optimal Convergence Rates for the Proximal Bundle Method
(with B. Grimmer) Submitted, 2021.

Infeasibility detection with primal-dual hybrid gradient for large-scale linear programming
(with D. Applegate, H. Lu, and M. Lubin) Submitted, 2021.

Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient
(with D. Applegate, O. Hinder, H. Lu, M. Lubin, B. O’Donoghue, and W. Schudy) NeurIPS, 2021.

Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence
(with V. Charisopoulos, Y. Chen, D. Davis, L. Ding, D. Drusvyatskiy) Foundations of Computational Mathematics, 2021.

Efficient Clustering for Stretched Mixtures: Landscape and Optimality
(with K. Wang and Y. Yan) NeurIPS, 2020.

Composite optimization for robust rank one bilinear sensing
(with V. Charisopoulos, D. Davis, and D. Drusvyatskiy) Information and Inference, 2020.

Local angles and dimension estimation from data on manifolds
(with A. Quiroz, M. Velasco) Journal of Multivariate Analysis, 2019.

Compressed sensing of data with known distribution
(with M. Junca, F. Rincón and M. Velasco) Applied and Computational Harmonic Analysis, 2018.

In Search of Balance: The Challenge of Generating Balanced Latin Rectangles
(with C. Gomes, R. Le Bras) CPAIOR 2017.