Stephen J. Wright

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 19

Top Topics

Nonlinear Programming

Probability Measure

Convex Optimization

Low Rank Matrix

Top Venues

Multiscale Model. Simul.

Publications

Changyu Gao, Andrew Lowy, Xingyu Zhou, Stephen J. Wright
Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses. CoRR (2024)
Charles Dickens, Changyu Gao, Connor Pryor, Stephen J. Wright, Lise Getoor
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning. CoRR (2024)
Shuyao Li, Yu Cheng, Ilias Diakonikolas, Jelena Diakonikolas, Rong Ge, Stephen J. Wright
Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing. CoRR (2024)
Andrew Lowy, Jonathan R. Ullman, Stephen J. Wright
How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization. CoRR (2024)
Ruhui Jin, Martin Guerra, Qin Li, Stephen J. Wright
Optimal experimental design via gradient flow. CoRR (2024)
Yue Xie, Stephen J. Wright
Complexity of a projected Newton-CG method for optimization with bounds. Math. Program. 207 (1) (2024)
Ahmet Alacaoglu, Donghwan Kim, Stephen J. Wright
Extending the Reach of First-Order Algorithms for Nonconvex Min-Max Problems with Cohypomonotonicity. CoRR (2024)
Ahmet Alacaoglu, Stephen J. Wright
Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints. AISTATS (2024)
Shi Chen, Zhiyan Ding, Qin Li, Stephen J. Wright
On optimal bases for multiscale PDEs and Bayesian homogenization. CoRR (2023)
Nam Ho-Nguyen, Stephen J. Wright
Adversarial classification via distributional robustness with Wasserstein ambiguity. Math. Program. 198 (2) (2023)
Ahmet Alacaoglu, Stephen J. Wright
Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints. CoRR (2023)
Shi Chen, Qin Li, Oliver Tse, Stephen J. Wright
Accelerating optimization over the space of probability measures. CoRR (2023)
Michael O'Neill, Stephen J. Wright
A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees. J. Mach. Learn. Res. 24 (2023)
Shuyao Li, Stephen J. Wright
A randomized algorithm for nonconvex minimization with inexact evaluations and complexity guarantees. CoRR (2023)
Kristin P. Bennett, Michael C. Ferris, Jong-Shi Pang, Mikhail V. Solodov, Stephen J. Wright
Special Issue: Hierarchical Optimization. Math. Program. 198 (2) (2023)
Shuyao Li, Yu Cheng, Ilias Diakonikolas, Jelena Diakonikolas, Rong Ge, Stephen J. Wright
Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing. NeurIPS (2023)
Yewei Xu, Shi Chen, Qin Li, Stephen J. Wright
Correcting auto-differentiation in neural-ODE training. CoRR (2023)
Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
Manifold Learning and Nonlinear Homogenization. Multiscale Model. Simul. 20 (3) (2022)
Cong Han Lim, Jeffrey T. Linderoth, James R. Luedtke, Stephen J. Wright
Parallelizing Subgradient Methods for the Lagrangian Dual in Stochastic Mixed-Integer Programming. INFORMS J. Optim. 3 (1) (2021)