| 2024 | AISTATS | Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints. | Ahmet Alacaoglu, Stephen J. Wright |
| 2024 | ICML | Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity. | Ahmet Alacaoglu, Donghwan Kim, Stephen J. Wright |
| 2024 | ICML | Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning. | Charles Andrew Dickens, Changyu Gao, Connor Pryor, Stephen J. Wright, Lise Getoor |
| 2024 | ICML | 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 J. Wright |
| 2024 | ICML | How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization. | Andrew Lowy, Jonathan R. Ullman, Stephen J. Wright |
| 2023 | ICML | Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization. | Xufeng Cai, Chaobing Song, Stephen J. Wright, Jelena Diakonikolas |
| 2021 | AISTATS | Random Coordinate Underdamped Langevin Monte Carlo. | Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright |
| 2021 | COLT | Random Coordinate Langevin Monte Carlo. | Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright |
| 2021 | ICML | Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums. | Chaobing Song, Stephen J. Wright, Jelena Diakonikolas |
| 2019 | ICML | Blended Conditonal Gradients. | Gbor Braun, Sebastian Pokutta, Dan Tu, Stephen J. Wright |
| 2019 | ICML | Bilinear Bandits with Low-rank Structure. | Kwang-Sung Jun, Rebecca Willett, Stephen J. Wright, Robert D. Nowak |
| 2019 | ICML | First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems. | Ching-pei Lee, Stephen J. Wright |
| 2018 | AAAI | Training Set Debugging Using Trusted Items. | Xuezhou Zhang, Xiaojin Zhu, Stephen J. Wright |
| 2018 | ICML | Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs. | Bin Hu, Stephen J. Wright, Laurent Lessard |
| 2018 | KDD | A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization. | Ching-pei Lee, Cong Han Lim, Stephen J. Wright |
| 2018 | UAI | Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. | Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen J. Wright, David Page |
| 2017 | AISTATS | Improved Strongly Adaptive Online Learning using Coin Betting. | Kwang-Sung Jun, Francesco Orabona, Stephen J. Wright, Rebecca Willett |
| 2016 | AISTATS | A Fast and Reliable Policy Improvement Algorithm. | Yasin Abbasi-Yadkori, Peter L. Bartlett, Stephen J. Wright |
| 2016 | AISTATS | Efficient Bregman Projections onto the Permutahedron and Related Polytopes. | Cong Han Lim, Stephen J. Wright |
| 2014 | ACSSC | Forward - Backward greedy algorithms for signal demixing. | Nikhil Rao, Parikshit Shah, Stephen J. Wright |
| 2014 | ICML | An Asynchronous Parallel Stochastic Coordinate Descent Algorithm. | Ji Liu, Stephen J. Wright, Christopher R, Victor Bittorf, Srikrishna Sridhar |
| 2014 | WACV | Online algorithms for factorization-based structure from motion. | Ryan Kennedy, Laura Balzano, Stephen J. Wright, Camillo J. Taylor |
| 2013 | ICASSP | A greedy forward-backward algorithm for atomic norm constrained minimization. | Nikhil Rao, Parikshit Shah, Stephen J. Wright, Robert D. Nowak |
| 2013 | KDD | Optimization in learning and data analysis. | Stephen J. Wright |
| 2012 | ICASSP | Overview of large scale optimization for discriminative training in speech recognition. | Dimitri Kanevsky, Georg Heigold, Stephen J. Wright, Hermann Ney |
| 2012 | ICPRAM | ASSET: Approximate Stochastic Subgradient Estimation Training for Support Vector Machines. | Sangkyun Lee, Stephen J. Wright |
| 2011 | ICIP | Convex approaches to model wavelet sparsity patterns. | Nikhil S. Rao, Robert D. Nowak, Stephen J. Wright, Nick G. Kingsbury |
| 2011 | ICML | Manifold Identification of Dual Averaging Methods for Regularized Stochastic Online Learning. | Sangkyun Lee, Stephen J. Wright |
| 2010 | PSB | Optimization Methods for Selecting Founder Populations for Captive Breeding of Endangered Species. | Webb Miller, Stephen J. Wright, Yu Zhang, Stephan C. Schuster, Vanessa M. Hayes |
| 2008 | ICASSP | Sparse reconstruction by separable approximation. | Stephen J. Wright, Robert D. Nowak, Mrio A. T. Figueiredo |
| 2008 | INFOCOM | Power Awareness in Network Design and Routing. | Joseph Chabarek, Joel Sommers, Paul Barford, Cristian Estan, David Tsiang, Stephen J. Wright |
| 2007 | AMIA | Creating operations research models to guide RHIO decision making. | Michael C. Ferris, Patricia Flatley Brennan, Lisa Tang, Jenna L. Marquard, Stephen M. Robinson, Stephen J. Wright |
| 2006 | ICDE | Approximating StreamingWindow Joins Under CPU Limitations. | Ahmed Ayad, Jeffrey F. Naughton, Stephen J. Wright, Utkarsh Srivastava |
| 2005 | AMIA | Modeling Participation in the NHII: Operations Research Approach. | Patricia Flatley Brennan, Michael C. Ferris, Stephen M. Robinson, Stephen J. Wright, Jenna L. Marquard |
| 2004 | ICDM | Mass Spectrum Labeling: Theory and Practice. | Zheng Huang, Lei Chen, Jin-yi Cai, Deborah S. Gross, David R. Musicant, Raghu Ramakrishnan, James J. Schauer, Stephen J. Wright |
| 2002 | ICS | Near-optimal adaptive control of a large grid application. | Det Buaklee, Gregory F. Tracy, Mary K. Vernon, Stephen J. Wright |