Wright, Stephen

25 publications

ICML 2024 Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning Charles Andrew Dickens, Changyu Gao, Connor Pryor, Stephen Wright, Lise Getoor

ICML 2024 How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization Andrew Lowy, Jonathan Ullman, Stephen Wright

ICLR 2024 On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D Nowak

NeurIPS 2024 On the Complexity of Teaching a Family of Linear Behavior Cloning Learners Shubham Bharti, Stephen Wright, Adish Singla, Xiaojin Zhu

ICML 2024 Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses Changyu Gao, Andrew Lowy, Xingyu Zhou, Stephen Wright

ICML 2024 Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity Ahmet Alacaoglu, Donghwan Kim, Stephen Wright

ICML 2023 A Fully First-Order Method for Stochastic Bilevel Optimization Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D Nowak

ICML 2023 Cut Your Losses with Squentropy Like Hui, Mikhail Belkin, Stephen Wright

ICML 2023 Cyclic Block Coordinate Descent with Variance Reduction for Composite Nonconvex Optimization Xufeng Cai, Chaobing Song, Stephen Wright, Jelena Diakonikolas

NeurIPS 2023 Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing Shuyao Li, Yu Cheng, Ilias Diakonikolas, Jelena Diakonikolas, Rong Ge, Stephen Wright

NeurIPS 2022 BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach Bo Liu, Mao Ye, Stephen Wright, Peter Stone, Qiang Liu

NeurIPSW 2022 BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach Mao Ye, Bo Liu, Stephen Wright, Peter Stone, Qiang Liu

NeurIPS 2022 Coordinate Linear Variance Reduction for Generalized Linear Programming Chaobing Song, Cheuk Yin Lin, Stephen Wright, Jelena Diakonikolas

AISTATS 2021 Random Coordinate Underdamped Langevin Monte Carlo Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen Wright

ICML 2019 Bilinear Bandits with Low-Rank Structure Kwang-Sung Jun, Rebecca Willett, Stephen Wright, Robert Nowak

ICML 2019 Blended Conditonal Gradients Gábor Braun, Sebastian Pokutta, Dan Tu, Stephen Wright

ICML 2019 First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems Ching-Pei Lee, Stephen Wright

NeurIPS 2018 ATOMO: Communication-Efficient Learning via Atomic Sparsification Hongyi Wang, Scott Sievert, Shengchao Liu, Zachary Charles, Dimitris Papailiopoulos, Stephen Wright

ICML 2018 Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs Bin Hu, Stephen Wright, Laurent Lessard

NeurIPS 2017 K-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms Cong Han Lim, Stephen Wright

NeurIPS 2014 Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems Cong Han Lim, Stephen Wright

NeurIPS 2013 An Approximate, Efficient LP Solver for LP Rounding Srikrishna Sridhar, Stephen Wright, Christopher Re, Ji Liu, Victor Bittorf, Ce Zhang

NeurIPS 2011 Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Benjamin Recht, Christopher Re, Stephen Wright, Feng Niu

AISTATS 2009 Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming Hector Corrada Bravo, Stephen Wright, Kevin Eng, Sunduz Keles, Grace Wahba

AISTATS 2007 Dissimilarity in Graph-Based Semi-Supervised Classification Andrew B. Goldberg, Xiaojin Zhu, Stephen Wright