Stephen J. Wright

226 papers A* 22A 12B 1C 2Misc 7Journal 164Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Model Predictive Control with Differentiable World Models for Offline Reinforcement Learning. CoRR Rohan Deb, Stephen J. Wright, Arindam Banerjee
2026	J	`jnl`	Smoothing the Score Function for Generalization in Diffusion Models: An Optimization-based Explanation Framework. CoRR Xinyu Zhou, Jiawei Zhang, Stephen J. Wright
2025	J	`jnl`	A Randomized Algorithm for Nonconvex Minimization With Inexact Evaluations and Complexity Guarantees. J. Optim. Theory Appl. Shuyao Li, Stephen J. Wright
2025	J	`jnl`	Accelerating optimization over the space of probability measures. J. Mach. Learn. Res. Shi Chen, Qin Li, Oliver Tse, Stephen J. Wright
2025	J	`jnl`	Data selection: at the interface of PDE-based inverse problem and randomized linear algebra. CoRR Kathrin Hellmuth, Ruhui Jin, Qing Li, Stephen J. Wright
2025	J	`jnl`	First-ish Order Methods: Hessian-aware Scalings of Gradient Descent. CoRR Oscar Smee, Fred Roosta, Stephen J. Wright
2025	J	`jnl`	On Squared-Variable Formulations. SIAM J. Optim. Lijun Ding, Stephen J. Wright
2025	—	`conf`	Optimal Rates for Robust Stochastic Convex Optimization. FORC Changyu Gao, Andrew Lowy, Xingyu Zhou, Stephen J. Wright
2025	J	`jnl`	Optimization in Theory and Practice. CoRR Stephen J. Wright
2025	J	`jnl`	Towards Weaker Variance Assumptions for Stochastic Optimization. CoRR Ahmet Alacaoglu, Yura Malitsky, Stephen J. Wright
2024	J	`jnl`	A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic Systems. CoRR Charles Dickens, Connor Pryor, Changyu Gao, Alon Albalak, Eriq Augustine, William Yang Wang, Stephen J. Wright, Lise Getoor
2024	A	`conf`	Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints. AISTATS Ahmet Alacaoglu, Stephen J. Wright
2024	J	`jnl`	Complexity of a projected Newton-CG method for optimization with bounds. Math. Program. Yue Xie, Stephen J. Wright
2024	J	`jnl`	Continuous nonlinear adaptive experimental design with gradient flow. CoRR Ruhui Jin, Qin Li, Stephen O. Mussmann, Stephen J. Wright
2024	A*	`conf`	Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning. ICML Charles Andrew Dickens, Changyu Gao, Connor Pryor, Stephen J. Wright, Lise Getoor
2024	J	`jnl`	Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning. CoRR Charles Dickens, Changyu Gao, Connor Pryor, Stephen J. Wright, Lise Getoor
2024	J	`jnl`	Extending the Reach of First-Order Algorithms for Nonconvex Min-Max Problems with Cohypomonotonicity. CoRR Ahmet Alacaoglu, Donghwan Kim, Stephen J. Wright
2024	A*	`conf`	How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization. ICML Andrew Lowy, Jonathan R. Ullman, Stephen J. Wright
2024	J	`jnl`	How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization. CoRR Andrew Lowy, Jonathan R. Ullman, Stephen J. Wright
2024	J	`jnl`	Optimal Rates for Robust Stochastic Convex Optimization. CoRR Changyu Gao, Andrew Lowy, Xingyu Zhou, Stephen J. Wright
2024	J	`jnl`	Optimal experimental design via gradient flow. CoRR Ruhui Jin, Martin Guerra, Qin Li, Stephen J. Wright
2024	A*	`conf`	Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses. ICML Changyu Gao, Andrew Lowy, Xingyu Zhou, Stephen J. Wright
2024	J	`jnl`	Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses. CoRR Changyu Gao, Andrew Lowy, Xingyu Zhou, Stephen J. Wright
2024	A*	`conf`	Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity. ICML Ahmet Alacaoglu, Donghwan Kim, Stephen J. Wright
2024	J	`jnl`	Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing. CoRR Shuyao Li, Yu Cheng, Ilias Diakonikolas, Jelena Diakonikolas, Rong Ge, Stephen J. Wright
2023	J	`jnl`	A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees. J. Mach. Learn. Res. Michael O'Neill, Stephen J. Wright
2023	J	`jnl`	A randomized algorithm for nonconvex minimization with inexact evaluations and complexity guarantees. CoRR Shuyao Li, Stephen J. Wright
2023	J	`jnl`	Accelerating optimization over the space of probability measures. CoRR Shi Chen, Qin Li, Oliver Tse, Stephen J. Wright
2023	J	`jnl`	Adversarial classification via distributional robustness with Wasserstein ambiguity. Math. Program. Nam Ho-Nguyen, Stephen J. Wright
2023	J	`jnl`	Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints. CoRR Ahmet Alacaoglu, Stephen J. Wright
2023	J	`jnl`	Correcting auto-differentiation in neural-ODE training. CoRR Yewei Xu, Shi Chen, Qin Li, Stephen J. Wright
2023	A*	`conf`	Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization. ICML Xufeng Cai, Chaobing Song, Stephen J. Wright, Jelena Diakonikolas
2023	J	`jnl`	Differentially Private Optimization for Smooth Nonconvex ERM. CoRR Changyu Gao, Stephen J. Wright
2023	J	`jnl`	Multi-output multilevel best linear unbiased estimators via semidefinite programming. CoRR Matteo Croci, Karen E. Willcox, Stephen J. Wright
2023	J	`jnl`	On optimal bases for multiscale PDEs and Bayesian homogenization. CoRR Shi Chen, Zhiyan Ding, Qin Li, Stephen J. Wright
2023	A*	`conf`	Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing. NeurIPS Shuyao Li, Yu Cheng, Ilias Diakonikolas, Jelena Diakonikolas, Rong Ge, Stephen J. Wright
2023	J	`jnl`	Special Issue: Hierarchical Optimization. Math. Program. Kristin P. Bennett, Michael C. Ferris, Jong-Shi Pang, Mikhail V. Solodov, Stephen J. Wright
2022	A*	`conf`	Coordinate Linear Variance Reduction for Generalized Linear Programming. NeurIPS Chaobing Song, Cheuk Yin Lin, Stephen J. Wright, Jelena Diakonikolas
2022	J	`jnl`	Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization. CoRR Xufeng Cai, Chaobing Song, Stephen J. Wright, Jelena Diakonikolas
2022	J	`jnl`	Manifold Learning and Nonlinear Homogenization. Multiscale Model. Simul. Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
2022	J	`jnl`	On the Complexity of a Practical Primal-Dual Coordinate Method. CoRR Ahmet Alacaoglu, Volkan Cevher, Stephen J. Wright
2022	J	`jnl`	Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis. J. Mach. Learn. Res. Zhiyan Ding, Shi Chen, Qin Li, Stephen J. Wright
2021	J	`jnl`	A Low-Rank Schwarz Method for Radiative Transfer Equation With Heterogeneous Scattering Coefficient. Multiscale Model. Simul. Ke Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
2021	J	`jnl`	A reduced order Schwarz method for nonlinear multiscale elliptic equations based on two-layer neural networks. CoRR Shi Chen, Zhiyan Ding, Qin Li, Stephen J. Wright
2021	J	`jnl`	Complexity of Proximal Augmented Lagrangian for Nonconvex Optimization with Nonlinear Equality Constraints. J. Sci. Comput. Yue Xie, Stephen J. Wright
2021	J	`jnl`	Coordinate Linear Variance Reduction for Generalized Linear Programming. CoRR Chaobing Song, Cheuk Yin Lin, Stephen J. Wright, Jelena Diakonikolas
2021	J	`jnl`	Industrial, large-scale model predictive control with structured neural networks. Comput. Chem. Eng. Pratyush Kumar, James B. Rawlings, Stephen J. Wright
2021	J	`jnl`	Low-rank approximation for multiscale PDEs. CoRR Ke Chen, Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
2021	J	`jnl`	On the Global Convergence of Gradient Descent for multi-layer ResNets in the mean-field regime. CoRR Zhiyan Ding, Shi Chen, Qin Li, Stephen J. Wright
2021	J	`jnl`	Overparameterization of deep ResNet: zero loss and mean-field analysis. CoRR Zhiyan Ding, Shi Chen, Qin Li, Stephen J. Wright
2021	J	`jnl`	Parallelizing Subgradient Methods for the Lagrangian Dual in Stochastic Mixed-Integer Programming. INFORMS J. Optim. Cong Han Lim, Jeffrey T. Linderoth, James R. Luedtke, Stephen J. Wright
2021	A*	`conf`	Random Coordinate Langevin Monte Carlo. COLT Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright
2021	A	`conf`	Random Coordinate Underdamped Langevin Monte Carlo. AISTATS Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright
2021	J	`jnl`	Randomized Algorithms for Scientific Computing (RASC). CoRR Aydin Buluç, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony M. DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary L. Myers, Jelani Nelson, Juan M. Restrepo, C. Seshadhri, Draguna L. Vrabie, Brendt Wohlberg, Stephen J. Wright, Chao Yang, Peter Zwart
2021	J	`jnl`	Trust-Region Newton-CG with Strong Second-Order Complexity Guarantees for Nonconvex Optimization. SIAM J. Optim. Frank E. Curtis, Daniel P. Robinson, Clément W. Royer, Stephen J. Wright
2021	J	`jnl`	Variable Smoothing for Weakly Convex Composite Functions. J. Optim. Theory Appl. Axel Böhm, Stephen J. Wright
2021	A*	`conf`	Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums. ICML Chaobing Song, Stephen J. Wright, Jelena Diakonikolas
2021	J	`jnl`	Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums. CoRR Chaobing Song, Stephen J. Wright, Jelena Diakonikolas
2020	J	`jnl`	A Newton-CG algorithm with complexity guarantees for smooth unconstrained optimization. Math. Program. Clément W. Royer, Michael O'Neill, Stephen J. Wright
2020	J	`jnl`	Adversarial Classification via Distributional Robustness with Wasserstein Ambiguity. CoRR Nam Ho-Nguyen, Stephen J. Wright
2020	J	`jnl`	Analyzing random permutations for cyclic coordinate descent. Math. Comput. Stephen J. Wright, Ching-pei Lee
2020	J	`jnl`	Inexact Variable Metric Stochastic Block-Coordinate Descent for Regularized Optimization. J. Optim. Theory Appl. Ching-pei Lee, Stephen J. Wright
2020	J	`jnl`	Manifold Learning and Nonlinear Homogenization. CoRR Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
2020	J	`jnl`	Random Coordinate Langevin Monte Carlo. CoRR Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright
2020	J	`jnl`	Random Coordinate Underdamped Langevin Monte Carlo. CoRR Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright
2020	J	`jnl`	Random Sampling and Efficient Algorithms for Multiscale PDEs. SIAM J. Sci. Comput. Ke Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
2020	J	`jnl`	Randomized Sampling for Basis Function Construction in Generalized Finite Element Methods. Multiscale Model. Simul. Ke Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
2020	J	`jnl`	Randomness and permutations in coordinate descent methods. Math. Program. Mert Gürbüzbalaban, Asuman E. Ozdaglar, Nuri Denizcan Vanli, Stephen J. Wright
2020	J	`jnl`	Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. CoRR Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen J. Wright, David Page
2020	J	`jnl`	Structured Random Sketching for PDE Inverse Problems. SIAM J. Matrix Anal. Appl. Ke Chen, Qin Li, Kit Newton, Stephen J. Wright
2019	J	`jnl`	A Distributed Quasi-Newton Algorithm for Primal and Dual Regularized Empirical Risk Minimization. CoRR Ching-pei Lee, Cong Han Lim, Stephen J. Wright
2019	J	`jnl`	A discrete least squares collocation method for two-dimensional nonlinear time-dependent partial differential equations. J. Comput. Phys. Fanhai Zeng, Ian W. Turner, Kevin Burrage, Stephen J. Wright
2019	J	`jnl`	A low-rank Schwarz method for radiative transport equation with heterogeneous scattering coefficient. CoRR Ke Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
2019	J	`jnl`	Behavior of accelerated gradient methods near critical points of nonconvex functions. Math. Program. Michael O'Neill, Stephen J. Wright
2019	A*	`conf`	Bilinear Bandits with Low-rank Structure. ICML Kwang-Sung Jun, Rebecca Willett, Stephen J. Wright, Robert D. Nowak
2019	J	`jnl`	Bilinear Bandits with Low-rank Structure. CoRR Kwang-Sung Jun, Rebecca Willett, Stephen J. Wright, Robert D. Nowak
2019	A*	`conf`	Blended Conditonal Gradients. ICML Gábor Braun, Sebastian Pokutta, Dan Tu, Stephen J. Wright
2019	J	`jnl`	Convergence and Margin of Adversarial Training on Separable Data. CoRR Zachary Charles, Shashank Rajput, Stephen J. Wright, Dimitris S. Papailiopoulos
2019	J	`jnl`	Efficient optimization of natural resonance theory weightings and bond orders by gram-based convex programming. J. Comput. Chem. Eric D. Glendening, Stephen J. Wright, Frank Weinhold
2019	A*	`conf`	First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems. ICML Ching-pei Lee, Stephen J. Wright
2019	J	`jnl`	Inexact Successive quadratic approximation for regularized optimization. Comput. Optim. Appl. Ching-pei Lee, Stephen J. Wright
2019	J	`jnl`	Interleaved Composite Quantization for High-Dimensional Similarity Search. CoRR Soroosh Khoram, Stephen J. Wright, Jing Li
2019	J	`jnl`	Predicting kinase inhibitors using bioactivity matrix derived informer sets. PLoS Comput. Biol. Huikun Zhang, Spencer S. Ericksen, Ching-pei Lee, Gene E. Ananiev, Nathan Wlodarchak, Peng Yu, Julie C. Mitchell, Anthony Gitter, Stephen J. Wright, F. Michael Hoffmann, Scott A. Wildman, Michael A. Newton
2019	J	`jnl`	Schwarz iteration method for elliptic equation with rough media based on random sampling. CoRR Ke Chen, Qin Li, Stephen J. Wright
2018	A*	`conf`	A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization. KDD Ching-pei Lee, Cong Han Lim, Stephen J. Wright
2018	J	`jnl`	A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization. CoRR Ching-pei Lee, Cong Han Lim, Stephen J. Wright
2018	A*	`conf`	ATOMO: Communication-efficient Learning via Atomic Sparsification. NeurIPS Hongyi Wang, Scott Sievert, Shengchao Liu, Zachary Charles, Dimitris S. Papailiopoulos, Stephen J. Wright
2018	J	`jnl`	ATOMO: Communication-efficient Learning via Atomic Sparsification. CoRR Hongyi Wang, Scott Sievert, Shengchao Liu, Zachary Charles, Dimitris S. Papailiopoulos, Stephen J. Wright
2018	J	`jnl`	Blended Conditional Gradients: the unconditioning of conditional gradients. CoRR Gábor Braun, Sebastian Pokutta, Dan Tu, Stephen J. Wright
2018	J	`jnl`	Complexity Analysis of Second-Order Line-Search Algorithms for Smooth Nonconvex Optimization. SIAM J. Optim. Clément W. Royer, Stephen J. Wright
2018	A*	`conf`	Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs. ICML Bin Hu, Stephen J. Wright, Laurent Lessard
2018	J	`jnl`	Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs. CoRR Bin Hu, Stephen J. Wright, Laurent Lessard
2018	J	`jnl`	PMU Placement for Line Outage Identification via Multinomial Logistic Regression. IEEE Trans. Smart Grid Taedong Kim, Stephen J. Wright
2018	A	`conf`	Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. UAI Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen J. Wright, David Page
2018	A*	`conf`	Training Set Debugging Using Trusted Items. AAAI Xuezhou Zhang, Xiaojin Zhu, Stephen J. Wright
2018	J	`jnl`	Training Set Debugging Using Trusted Items. CoRR Xuezhou Zhang, Xiaojin Zhu, Stephen J. Wright
2017	A	`conf`	Improved Strongly Adaptive Online Learning using Coin Betting. AISTATS Kwang-Sung Jun, Francesco Orabona, Stephen J. Wright, Rebecca Willett
2017	J	`jnl`	Online Learning for Changing Environments using Coin Betting. CoRR Kwang-Sung Jun, Francesco Orabona, Stephen J. Wright, Rebecca Willett
2017	J	`jnl`	Using Neural Networks to Detect Line Outages from PMU Data. CoRR Ching-pei Lee, Stephen J. Wright
2017	—	`conf`	k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms. NIPS Cong Han Lim, Stephen J. Wright
2016	A	`conf`	A Fast and Reliable Policy Improvement Algorithm. AISTATS Yasin Abbasi-Yadkori, Peter L. Bartlett, Stephen J. Wright
2016	J	`jnl`	A proximal method for composite minimization. Math. Program. Adrian S. Lewis, Stephen J. Wright
2016	J	`jnl`	An accelerated randomized Kaczmarz algorithm. Math. Comput. Ji Liu, Stephen J. Wright
2016	J	`jnl`	Analyzing Vulnerability of Power Systems with Continuous Optimization Formulations. IEEE Trans. Netw. Sci. Eng. Taedong Kim, Stephen J. Wright, Daniel Bienstock, Sean Harnett
2016	J	`jnl`	Big Data: Theoretical Aspects [Scanning the Issue]. Proc. IEEE Simon Haykin, Stephen J. Wright, Yoshua Bengio
2016	A	`conf`	Efficient Bregman Projections onto the Permutahedron and Related Polytopes. AISTATS Cong Han Lim, Stephen J. Wright
2016	J	`jnl`	Improved Strongly Adaptive Online Learning using Coin Betting. CoRR Kwang-Sung Jun, Francesco Orabona, Rebecca Willett, Stephen J. Wright
2016	J	`jnl`	Online algorithms for factorization-based structure from motion. Comput. Vis. Image Underst. Ryan Kennedy, Laura Balzano, Stephen J. Wright, Camillo J. Taylor
2015	J	`jnl`	An asynchronous parallel stochastic coordinate descent algorithm. J. Mach. Learn. Res. Ji Liu, Stephen J. Wright, Christopher Ré, Victor Bittorf, Srikrishna Sridhar
2015	J	`jnl`	Asynchronous Stochastic Coordinate Descent: Parallelism and Convergence Properties. SIAM J. Optim. Ji Liu, Stephen J. Wright
2015	J	`jnl`	Coordinate descent algorithms. Math. Program. Stephen J. Wright
2015	J	`jnl`	Forward-Backward Greedy Algorithms for Atomic Norm Regularization. IEEE Trans. Signal Process. Nikhil Rao, Parikshit Shah, Stephen J. Wright
2015	J	`jnl`	Local Convergence of an Algorithm for Subspace Identification from Partial Data. Found. Comput. Math. Laura Balzano, Stephen J. Wright
2014	J	`jnl`	An Asynchronous Parallel Randomized Kaczmarz Algorithm. CoRR Ji Liu, Stephen J. Wright, Srikrishna Sridhar
2014	A*	`conf`	An Asynchronous Parallel Stochastic Coordinate Descent Algorithm. ICML Ji Liu, Stephen J. Wright, Christopher Ré, Victor Bittorf, Srikrishna Sridhar
2014	—	`conf`	Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems. NIPS Cong Han Lim, Stephen J. Wright
2014	J	`jnl`	Forward - Backward Greedy Algorithms for Atomic Norm Regularization. CoRR Nikhil Rao, Parikshit Shah, Stephen J. Wright
2014	Misc	`conf`	Forward - Backward greedy algorithms for signal demixing. ACSSC Nikhil Rao, Parikshit Shah, Stephen J. Wright
2014	A	`conf`	Online algorithms for factorization-based structure from motion. WACV Ryan Kennedy, Laura Balzano, Stephen J. Wright, Camillo J. Taylor
2014	J	`jnl`	Research Spotlights. SIAM Rev. Stephen J. Wright
2014	J	`jnl`	Research Spotlights. SIAM Rev. Stephen J. Wright
2013	Misc	`conf`	A greedy forward-backward algorithm for atomic norm constrained minimization. ICASSP Nikhil Rao, Parikshit Shah, Stephen J. Wright, Robert D. Nowak
2013	—	`conf`	An Approximate, Efficient LP Solver for LP Rounding. NIPS Srikrishna Sridhar, Stephen J. Wright, Christopher Ré, Ji Liu, Victor Bittorf, Ce Zhang
2013	J	`jnl`	An Approximate, Efficient Solver for LP Rounding. CoRR Srikrishna Sridhar, Victor Bittorf, Ji Liu, Ce Zhang, Christopher Ré, Stephen J. Wright
2013	J	`jnl`	Local Convergence of an Algorithm for Subspace Identification from Partial Data. CoRR Laura Balzano, Stephen J. Wright
2013	J	`jnl`	On GROUSE and Incremental SVD. CoRR Laura Balzano, Stephen J. Wright
2013	—	`conf`	On GROUSE and incremental SVD. CAMSAP Laura Balzano, Stephen J. Wright
2013	J	`jnl`	Online Algorithms for Factorization-Based Structure from Motion. CoRR Ryan Kennedy, Laura Balzano, Stephen J. Wright, Camillo J. Taylor
2013	J	`jnl`	Optimization Algorithms and Applications for Speech and Language Processing. IEEE Trans. Speech Audio Process. Stephen J. Wright, Dimitri Kanevsky, Li Deng, Xiaodong He, Georg Heigold, Haizhou Li
2013	A*	`conf`	Optimization in learning and data analysis. KDD Stephen J. Wright
2013	J	`jnl`	Packing Ellipsoids with Overlap. SIAM Rev. Caroline Uhler, Stephen J. Wright
2012	—	`conf`	ASSET: Approximate Stochastic Subgradient Estimation Training for Support Vector Machines. ICPRAM (1) Sangkyun Lee, Stephen J. Wright
2012	J	`jnl`	Accelerated Block-coordinate Relaxation for Regularized Optimization. SIAM J. Optim. Stephen J. Wright
2012	J	`jnl`	Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning. J. Mach. Learn. Res. Sangkyun Lee, Stephen J. Wright
2012	J	`jnl`	Optimizing financial effects of HIE: a multi-party linear programming approach. J. Am. Medical Informatics Assoc. Srikrishna Sridhar, Patricia Flatley Brennan, Stephen J. Wright, Stephen M. Robinson
2012	Misc	`conf`	Overview of large scale optimization for discriminative training in speech recognition. ICASSP Dimitri Kanevsky, Georg Heigold, Stephen J. Wright, Hermann Ney
2012	J	`jnl`	Robust Dequantized Compressive Sensing CoRR Ji Liu, Stephen J. Wright
2012	J	`jnl`	The partitioned LASSO-patternsearch algorithm with application to gene expression data. BMC Bioinform. Weiliang Shi, Grace Wahba, Rafael A. Irizarry, Héctor Corrada Bravo, Stephen J. Wright
2011	J	`jnl`	Approximate Stochastic Subgradient Estimation Training for Support Vector Machines CoRR Sangkyun Lee, Stephen J. Wright
2011	J	`jnl`	Conditions under which suboptimal nonlinear MPC is inherently robust. Syst. Control. Lett. Gabriele Pannocchia, James B. Rawlings, Stephen J. Wright
2011	J	`jnl`	Convex Approaches to Model Wavelet Sparsity Patterns CoRR Nikhil S. Rao, Robert D. Nowak, Stephen J. Wright, Nick G. Kingsbury
2011	B	`conf`	Convex approaches to model wavelet sparsity patterns. ICIP Nikhil S. Rao, Robert D. Nowak, Stephen J. Wright, Nick G. Kingsbury
2011	J	`jnl`	HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent CoRR Feng Niu, Benjamin Recht, Christopher Ré, Stephen J. Wright
2011	—	`conf`	Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent. NIPS Benjamin Recht, Christopher Ré, Stephen J. Wright, Feng Niu
2011	J	`jnl`	Identifying Activity. SIAM J. Optim. Adrian S. Lewis, Stephen J. Wright
2011	—	`conf`	Inherently robust suboptimal nonlinear MPC: Theory and application. CDC/ECC Gabriele Pannocchia, James B. Rawlings, Stephen J. Wright
2011	A*	`conf`	Manifold Identification of Dual Averaging Methods for Regularized Stochastic Online Learning. ICML Sangkyun Lee, Stephen J. Wright
2010	J	`jnl`	Computational Methods for Sparse Solution of Linear Inverse Problems. Proc. IEEE Joel A. Tropp, Stephen J. Wright
2010	J	`jnl`	Cooperative distributed model predictive control. Syst. Control. Lett. Brett T. Stewart, Aswin N. Venkat, James B. Rawlings, Stephen J. Wright, Gabriele Pannocchia
2010	J	`jnl`	Duality-based algorithms for total-variation-regularized image restoration. Comput. Optim. Appl. Mingqiang Zhu, Stephen J. Wright, Tony F. Chan
2010	C	`conf`	Hierarchical cooperative distributed model predictive control. ACC Brett T. Stewart, James B. Rawlings, Stephen J. Wright
2010	Misc	`conf`	Optimization Methods for Selecting Founder Populations for Captive Breeding of Endangered Species. Pacific Symposium on Biocomputing Webb Miller, Stephen J. Wright, Yu Zhang, Stephan C. Schuster, Vanessa M. Hayes
2009	J	`jnl`	An accelerated Newton method for equations with semismooth Jacobians and nonlinear complementarity problems. Math. Program. Christina Oberlin, Stephen J. Wright
2009	—	`conf`	Decomposition Algorithms for Training Large-Scale Semiparametric Support Vector Machines. ECML/PKDD (2) Sangkyun Lee, Stephen J. Wright
2009	A	`conf`	Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming. AISTATS Héctor Corrada Bravo, Stephen J. Wright, Kevin H. Eng, Sündüz Keles, Grace Wahba
2009	J	`jnl`	Sparse reconstruction by separable approximation. IEEE Trans. Signal Process. Stephen J. Wright, Robert D. Nowak, Mário A. T. Figueiredo
2008	J	`jnl`	Distributed MPC Strategies With Application to Power System Automatic Generation Control. IEEE Trans. Control. Syst. Technol. Aswin N. Venkat, Ian A. Hiskens, James B. Rawlings, Stephen J. Wright
2008	J	`jnl`	Optimal design of thermally stable proteins. Bioinform. Ryan M. Bannen, Vanitha Suresh, George N. Phillips Jr., Stephen J. Wright, Julie C. Mitchell
2008	A*	`conf`	Power Awareness in Network Design and Routing. INFOCOM Joseph Chabarek, Joel Sommers, Paul Barford, Cristian Estan, David Tsiang, Stephen J. Wright
2008	Misc	`conf`	Sparse reconstruction by separable approximation. ICASSP Stephen J. Wright, Robert D. Nowak, Mário A. T. Figueiredo
2007	J	`jnl`	An Optimization Framework for Conformal Radiation Treatment Planning. INFORMS J. Comput. Gino J. Lim, Michael C. Ferris, Stephen J. Wright, David M. Shepard, Matthew A. Earl
2007	Misc	`conf`	Creating operations research models to guide RHIO decision making. AMIA Michael C. Ferris, Patricia Flatley Brennan, Lisa Tang, Jenna L. Marquard, Stephen M. Robinson, Stephen J. Wright
2007	A	`conf`	Dissimilarity in Graph-Based Semi-Supervised Classification. AISTATS Andrew B. Goldberg, Xiaojin Zhu, Stephen J. Wright
2007	J	`jnl`	Elastic-mode algorithms for mathematical programs with equilibrium constraints: global convergence and stationarity properties. Math. Program. Mihai Anitescu, Paul Tseng, Stephen J. Wright
2007	J	`jnl`	Fast, large-scale model predictive control by partial enumeration. Autom. Gabriele Pannocchia, James B. Rawlings, Stephen J. Wright
2007	J	`jnl`	Global optimization in protein docking using clustering, underestimation and semidefinite programming. Optim. Methods Softw. Roummel F. Marcia, Julie C. Mitchell, Stephen J. Wright
2007	J	`jnl`	Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems. J. Sel. Topics Signal Processing Mário A. T. Figueiredo, Robert D. Nowak, Stephen J. Wright
2007	—	`book`	Linear programming with MATLAB. Michael C. Ferris, Olvi L. Mangasarian, Stephen J. Wright
2006	J	`jnl`	Active Set Identification in Nonlinear Programming. SIAM J. Optim. Christina Oberlin, Stephen J. Wright
2006	A*	`conf`	Approximating StreamingWindow Joins Under CPU Limitations. ICDE Ahmed Ayad, Jeffrey F. Naughton, Stephen J. Wright, Utkarsh Srivastava
2006	—	`conf`	Distributed Output Feedback MPC for Power System Control. CDC Aswin N. Venkat, Ian A. Hiskens, James B. Rawlings, Stephen J. Wright
2006	C	`conf`	Implementable distributed model predictive control with guaranteed performance properties. ACC Aswin N. Venkat, James B. Rawlings, Stephen J. Wright
2006	J	`jnl`	Linear programing formulations and algorithms for radiotherapy treatment planning. Optim. Methods Softw. Arinbjörn Ólafsson, Stephen J. Wright
2006	J	`jnl`	The empirical behavior of sampling methods for stochastic programming. Ann. Oper. Res. Jeff T. Linderoth, Alexander Shapiro, Stephen J. Wright
2005	—	`ch.`	5. Computational Grids for Stochastic Programming. Applications of Stochastic Programming Jeff T. Linderoth, Stephen J. Wright
2005	J	`jnl`	An Algorithm for Degenerate Nonlinear Programming with Rapid Local Convergence. SIAM J. Optim. Stephen J. Wright
2005	Misc	`conf`	Modeling Participation in the NHII: Operations Research Approach. AMIA Patricia Flatley Brennan, Michael C. Ferris, Stephen M. Robinson, Stephen J. Wright, Jenna L. Marquard
2005	J	`jnl`	Simultaneous Variable Selection. Technometrics Berwin A. Turlach, William N. Venables, Stephen J. Wright
2005	—	`conf`	Stability and optimality of distributed model predictive control. CDC/ECC Aswin N. Venkat, James B. Rawlings, Stephen J. Wright
2004	J	`jnl`	A Feasible Trust-Region Sequential Quadratic Programming Algorithm. SIAM J. Optim. Stephen J. Wright, Matthew J. Tenny
2004	A*	`conf`	Mass Spectrum Labeling: Theory and Practice. ICDM Zheng Huang, Lei Chen, Jin-Yi Cai, Deborah S. Gross, David R. Musicant, Raghu Ramakrishnan, James J. Schauer, Stephen J. Wright
2004	J	`jnl`	Minimizing delivery cost in scalable streaming content distribution systems. IEEE Trans. Multim. Jussara M. Almeida, Derek L. Eager, Mary K. Vernon, Stephen J. Wright
2004	J	`jnl`	Nonlinear Model Predictive Control via Feasibility-Perturbed Sequential Quadratic Programming. Comput. Optim. Appl. Matthew J. Tenny, Stephen J. Wright, James B. Rawlings
2004	J	`jnl`	Some properties of regularization and penalization schemes for MPECs. Optim. Methods Softw. Daniel Ralph, Stephen J. Wright
2003	A	`conf`	An Approach to Optimizing Adaptive Parabolic PDE Solvers for the Grid. IPDPS Vikram S. Adve, James C. Browne, Brian Ensink, John R. Rice, Patricia J. Teller, Mary K. Vernon, Stephen J. Wright
2003	J	`jnl`	Constraint identification and algorithm stabilization for degenerate nonlinear programs. Math. Program. Stephen J. Wright
2003	J	`jnl`	Decomposition Algorithms for Stochastic Programming on a Computational Grid. Comput. Optim. Appl. Jeff T. Linderoth, Stephen J. Wright
2003	J	`jnl`	Existence and computation of infinite horizon model predictive control with active steady-state input constraints. IEEE Trans. Autom. Control. Gabriele Pannocchia, Stephen J. Wright, James B. Rawlings
2003	J	`jnl`	Object-oriented software for quadratic programming. ACM Trans. Math. Softw. E. Michael Gertz, Stephen J. Wright
2002	J	`jnl`	Local Convergence of a Primal-Dual Method for Degenerate Nonlinear Programming. Comput. Optim. Appl. Luís Nunes Vicente, Stephen J. Wright
2002	A	`conf`	Model-Based Control of Adaptive Applications: An Overview. IPDPS Vikram S. Adve, Afolami Akinsanmi, James C. Browne, Det Buaklee, Guoshen Deng, Vinh Vi Lam, Trevor Morgan, John R. Rice, Gregory J. Rodin, Patricia J. Teller, Gregory F. Tracy, Mary K. Vernon, Stephen J. Wright
2002	J	`jnl`	Modifying SQP for Degenerate Problems. SIAM J. Optim. Stephen J. Wright
2002	A	`conf`	Near-optimal adaptive control of a large grid application. ICS Det Buaklee, Gregory F. Tracy, Mary K. Vernon, Stephen J. Wright
2002	—	`conf`	Numerical Behavior of a Stabilized SQP Method for Degenerate NLP Problems. COCOS El-Sayed M. E. Mostafa, Luís Nunes Vicente, Stephen J. Wright
2002	J	`jnl`	Properties of the Log-Barrier Function on Degenerate Nonlinear Programs. Math. Oper. Res. Stephen J. Wright, Dominique Orban
2002	J	`jnl`	Warm-Start Strategies in Interior-Point Methods for Linear Programming. SIAM J. Optim. E. Alper Yildirim, Stephen J. Wright
2001	J	`jnl`	Effects of Finite-Precision Arithmetic on Interior-Point Methods for Nonlinear Programming. SIAM J. Optim. Stephen J. Wright
2001	J	`jnl`	On reduced convex QP formulations of monotone LCPs. Math. Program. Stephen J. Wright
2001	J	`jnl`	On the convergence of the Newton/log-barrier method. Math. Program. Stephen J. Wright
2000	J	`jnl`	Superlinear Convergence of an Interior-Point Method Despite Dependent Constraints. Math. Oper. Res. Daniel Ralph, Stephen J. Wright
1999	J	`jnl`	Modified Cholesky Factorizations in Interior-Point Algorithms for Linear Programming. SIAM J. Optim. Stephen J. Wright
1999	—	`book`	Numerical Optimization Jorge Nocedal, Stephen J. Wright
1999	J	`jnl`	Optimization Case Studies in the NEOS Guide. SIAM Rev. Joseph Czyzyk, Timothy Wisniewski, Stephen J. Wright
1999	—	`conf`	Recent Developments in Interior-Point Methods. System Modelling and Optimization Stephen J. Wright
1999	J	`jnl`	The role of linear objective functions in barrier methods. Math. Program. Stephen J. Wright, Florian Jarre
1998	J	`jnl`	Superlinear Convergence of a Stabilized SQP Method to a Degenerate Solution. Comput. Optim. Appl. Stephen J. Wright
1997	—	`book`	Primal-Dual Interior-Point Methods. Stephen J. Wright
1997	—	`conf`	pPCx: Parallel Software for Linear Programming. PP Thomas F. Coleman, Joseph Czyzyk, Chunguang Sun, Michael Wagner, Stephen J. Wright
1996	J	`jnl`	A Superlinear Infeasible-Interior-Point Affine Scaling Algorithm for LCP. SIAM J. Optim. Renato D. C. Monteiro, Stephen J. Wright
1996	J	`jnl`	A Superlinear Infeasible-Interior-Point Algorithm for Monotone Complementarity Problems. Math. Oper. Res. Stephen J. Wright, Daniel Ralph
1996	J	`jnl`	A path-following interior-point algorithm for linear and quadratic problems. Ann. Oper. Res. Stephen J. Wright
1996	J	`jnl`	A superquadratic infeasible-interior-point method for linear complementarity problems. Math. Program. Stephen J. Wright, Yin Zhang
1995	J	`jnl`	Stability of Linear Equations Solvers in Interior-Point Methods. SIAM J. Matrix Anal. Appl. Stephen J. Wright
1995	J	`jnl`	Superlinear primal-dual affine scaling algorithms for LCP. Math. Program. Renato D. C. Monteiro, Stephen J. Wright
1994	J	`jnl`	An infeasible-interior-point algorithm for linear complementarity problems. Math. Program. Stephen J. Wright
1994	J	`jnl`	Local convergence of interior-point algorithms for degenerate monotone LCP. Comput. Optim. Appl. Renato D. C. Monteiro, Stephen J. Wright
1993	J	`jnl`	A Collection of Problems for Which Gaussian Elimination with Partial Pivoting is Unstable. SIAM J. Sci. Comput. Stephen J. Wright
1992	J	`jnl`	An Interior-Point Algorithm for Linearly Constrained Optimization. SIAM J. Optim. Stephen J. Wright
1992	J	`jnl`	Stable Parallel Algorithms for Two-Point Boundary Value Problems. SIAM J. Sci. Comput. Stephen J. Wright
1991	J	`jnl`	Parallel Algorithms for Banded Linear Systems. SIAM J. Sci. Comput. Stephen J. Wright
1991	J	`jnl`	Partitioned Dynamic Programming for Optimal Control. SIAM J. Optim. Stephen J. Wright
1991	J	`jnl`	Sequential quadratic programming for certain parameter identification problems. Math. Program. C. T. Kelley, Stephen J. Wright
1990	J	`jnl`	Adaptation of a Two-Point Boundary Value Problem Solver to a Vector-Multiprocessor Environment. SIAM J. Sci. Comput. Stephen J. Wright, V. Pereyra
1990	J	`jnl`	Solution of discrete-time optimal control problems on parallel computers. Parallel Comput. Stephen J. Wright
1989	J	`jnl`	An inexact algorithm for composite nondifferentiable optimization. Math. Program. Stephen J. Wright
1987	J	`jnl`	Local properties of inexact methods for minimizing nonsmooth composite functions. Math. Program. Stephen J. Wright