default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDStephen J. Wright 0001
Person information
- affiliation: University of Wisconsin-Madison, Deartment of Computer Sciences, WI, USA
- affiliation (former): Argonne National Laboratory, Mathematics and Computer Science Division, IL, USA
- affiliation (former): North Carolina State University, Mathematics Department, Raleigh, NC, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j101]Yue Xie
, Stephen J. Wright:
Complexity of a projected Newton-CG method for optimization with bounds. Math. Program. 207(1): 107-144 (2024)- [c57]Ahmet Alacaoglu, Stephen J. Wright:
Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints. AISTATS 2024: 4627-4635 - [c56]Ahmet Alacaoglu, Donghwan Kim, Stephen J. Wright:
Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity. ICML 2024 - [c55]Charles Andrew Dickens, Changyu Gao, Connor Pryor, Stephen J. Wright, Lise Getoor:
Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning. ICML 2024 - [c54]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. ICML 2024 - [c53]Andrew Lowy, Jonathan R. Ullman, Stephen J. Wright:
How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization. ICML 2024 - [i52]Ruhui Jin, Martin Guerra, Qin Li, Stephen J. Wright:
Optimal experimental design via gradient flow. CoRR abs/2401.07806 (2024) - [i51]Charles Dickens, Changyu Gao, Connor Pryor, Stephen J. Wright, Lise Getoor:
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning. CoRR abs/2401.09651 (2024) - [i50]Ahmet Alacaoglu, Donghwan Kim, Stephen J. Wright:
Extending the Reach of First-Order Algorithms for Nonconvex Min-Max Problems with Cohypomonotonicity. CoRR abs/2402.05071 (2024) - [i49]Andrew Lowy, Jonathan R. Ullman, Stephen J. Wright:
How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization. CoRR abs/2402.11173 (2024) - [i48]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 abs/2403.10547 (2024) - [i47]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 abs/2407.09690 (2024) - [i46]Charles Dickens, Connor Pryor, Changyu Gao, Alon Albalak, Eriq Augustine, William Yang Wang, Stephen J. Wright, Lise Getoor:
A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic Systems. CoRR abs/2407.09693 (2024) - 2023
- [j100]Michael O'Neill, Stephen J. Wright:
A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees. J. Mach. Learn. Res. 24: 10:1-10:34 (2023) - [j99]Kristin P. Bennett, Michael C. Ferris, Jong-Shi Pang, Mikhail V. Solodov, Stephen J. Wright:
Special Issue: Hierarchical Optimization. Math. Program. 198(2): 1121-1123 (2023) - [j98]Nam Ho-Nguyen, Stephen J. Wright:
Adversarial classification via distributional robustness with Wasserstein ambiguity. Math. Program. 198(2): 1411-1447 (2023) - [c52]Xufeng Cai, Chaobing Song, Stephen J. Wright, Jelena Diakonikolas:
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization. ICML 2023: 3469-3494 - [c51]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 - [i45]Matteo Croci, Karen E. Willcox, Stephen J. Wright:
Multi-output multilevel best linear unbiased estimators via semidefinite programming. CoRR abs/2301.07831 (2023) - [i44]Changyu Gao, Stephen J. Wright:
Differentially Private Optimization for Smooth Nonconvex ERM. CoRR abs/2302.04972 (2023) - [i43]Shi Chen, Zhiyan Ding, Qin Li, Stephen J. Wright:
On optimal bases for multiscale PDEs and Bayesian homogenization. CoRR abs/2305.12303 (2023) - [i42]Yewei Xu, Shi Chen, Qin Li, Stephen J. Wright:
Correcting auto-differentiation in neural-ODE training. CoRR abs/2306.02192 (2023) - [i41]Shi Chen, Qin Li, Oliver Tse, Stephen J. Wright:
Accelerating optimization over the space of probability measures. CoRR abs/2310.04006 (2023) - [i40]Shuyao Li, Stephen J. Wright:
A randomized algorithm for nonconvex minimization with inexact evaluations and complexity guarantees. CoRR abs/2310.18841 (2023) - [i39]Ahmet Alacaoglu, Stephen J. Wright:
Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints. CoRR abs/2311.00678 (2023) - 2022
- [j97]Zhiyan Ding, Shi Chen, Qin Li, Stephen J. Wright:
Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis. J. Mach. Learn. Res. 23: 48:1-48:65 (2022) - [j96]Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright:
Manifold Learning and Nonlinear Homogenization. Multiscale Model. Simul. 20(3): 1093-1126 (2022) - [c50]Chaobing Song, Cheuk Yin Lin, Stephen J. Wright, Jelena Diakonikolas:
Coordinate Linear Variance Reduction for Generalized Linear Programming. NeurIPS 2022 - [i38]Ahmet Alacaoglu, Volkan Cevher, Stephen J. Wright:
On the Complexity of a Practical Primal-Dual Coordinate Method. CoRR abs/2201.07684 (2022) - [i37]Xufeng Cai, Chaobing Song, Stephen J. Wright, Jelena Diakonikolas:
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization. CoRR abs/2212.05088 (2022) - 2021
- [j95]Pratyush Kumar, James B. Rawlings, Stephen J. Wright:
Industrial, large-scale model predictive control with structured neural networks. Comput. Chem. Eng. 150: 107291 (2021) - [j94]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): 1-22 (2021) - [j93]Axel Böhm, Stephen J. Wright:
Variable Smoothing for Weakly Convex Composite Functions. J. Optim. Theory Appl. 188(3): 628-649 (2021) - [j92]Yue Xie, Stephen J. Wright:
Complexity of Proximal Augmented Lagrangian for Nonconvex Optimization with Nonlinear Equality Constraints. J. Sci. Comput. 86(3): 38 (2021) - [j91]Ke Chen, Qin Li, Jianfeng Lu, Stephen J. Wright:
A Low-Rank Schwarz Method for Radiative Transfer Equation With Heterogeneous Scattering Coefficient. Multiscale Model. Simul. 19(2): 775-801 (2021) - [j90]Frank E. Curtis, Daniel P. Robinson, Clément W. Royer, Stephen J. Wright:
Trust-Region Newton-CG with Strong Second-Order Complexity Guarantees for Nonconvex Optimization. SIAM J. Optim. 31(1): 518-544 (2021) - [c49]Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright:
Random Coordinate Underdamped Langevin Monte Carlo. AISTATS 2021: 2701-2709 - [c48]Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright:
Random Coordinate Langevin Monte Carlo. COLT 2021: 1683-1710 - [c47]Chaobing Song, Stephen J. Wright, Jelena Diakonikolas:
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums. ICML 2021: 9824-9834 - [i36]Chaobing Song, Stephen J. Wright, Jelena Diakonikolas:
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums. CoRR abs/2102.13643 (2021) - [i35]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:
Randomized Algorithms for Scientific Computing (RASC). CoRR abs/2104.11079 (2021) - [i34]Zhiyan Ding, Shi Chen, Qin Li, Stephen J. Wright:
Overparameterization of deep ResNet: zero loss and mean-field analysis. CoRR abs/2105.14417 (2021) - [i33]Zhiyan Ding, Shi Chen, Qin Li, Stephen J. Wright:
On the Global Convergence of Gradient Descent for multi-layer ResNets in the mean-field regime. CoRR abs/2110.02926 (2021) - [i32]Chaobing Song, Cheuk Yin Lin, Stephen J. Wright, Jelena Diakonikolas:
Coordinate Linear Variance Reduction for Generalized Linear Programming. CoRR abs/2111.01842 (2021) - [i31]Shi Chen, Zhiyan Ding, Qin Li, Stephen J. Wright:
A reduced order Schwarz method for nonlinear multiscale elliptic equations based on two-layer neural networks. CoRR abs/2111.02280 (2021) - [i30]Ke Chen, Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright:
Low-rank approximation for multiscale PDEs. CoRR abs/2111.12904 (2021) - 2020
- [j89]Ching-pei Lee, Stephen J. Wright:
Inexact Variable Metric Stochastic Block-Coordinate Descent for Regularized Optimization. J. Optim. Theory Appl. 185(1): 151-187 (2020) - [j88]Ke Chen, Qin Li, Jianfeng Lu, Stephen J. Wright:
Randomized Sampling for Basis Function Construction in Generalized Finite Element Methods. Multiscale Model. Simul. 18(2): 1153-1177 (2020) - [j87]Stephen J. Wright, Ching-pei Lee:
Analyzing random permutations for cyclic coordinate descent. Math. Comput. 89(325): 2217-2248 (2020) - [j86]Clément W. Royer, Michael O'Neill, Stephen J. Wright:
A Newton-CG algorithm with complexity guarantees for smooth unconstrained optimization. Math. Program. 180(1): 451-488 (2020) - [j85]Mert Gürbüzbalaban, Asuman E. Ozdaglar, Nuri Denizcan Vanli, Stephen J. Wright:
Randomness and permutations in coordinate descent methods. Math. Program. 181(2): 349-376 (2020) - [j84]Ke Chen, Qin Li, Kit Newton, Stephen J. Wright:
Structured Random Sketching for PDE Inverse Problems. SIAM J. Matrix Anal. Appl. 41(4): 1742-1770 (2020) - [j83]Ke Chen, Qin Li, Jianfeng Lu, Stephen J. Wright:
Random Sampling and Efficient Algorithms for Multiscale PDEs. SIAM J. Sci. Comput. 42(5): A2974-A3005 (2020) - [i29]Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen J. Wright, David Page:
Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. CoRR abs/2005.06083 (2020) - [i28]Nam Ho-Nguyen, Stephen J. Wright:
Adversarial Classification via Distributional Robustness with Wasserstein Ambiguity. CoRR abs/2005.13815 (2020) - [i27]Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright:
Random Coordinate Langevin Monte Carlo. CoRR abs/2010.01405 (2020) - [i26]Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright:
Random Coordinate Underdamped Langevin Monte Carlo. CoRR abs/2010.11366 (2020) - [i25]Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright:
Manifold Learning and Nonlinear Homogenization. CoRR abs/2011.00568 (2020)
2010 – 2019
- 2019
- [j82]Ching-pei Lee, Stephen J. Wright:
Inexact Successive quadratic approximation for regularized optimization. Comput. Optim. Appl. 72(3): 641-674 (2019) - [j81]Eric D. Glendening, Stephen J. Wright, Frank Weinhold:
Efficient optimization of natural resonance theory weightings and bond orders by gram-based convex programming. J. Comput. Chem. 40(23): 2028-2035 (2019) - [j80]Fanhai Zeng, Ian W. Turner, Kevin Burrage, Stephen J. Wright:
A discrete least squares collocation method for two-dimensional nonlinear time-dependent partial differential equations. J. Comput. Phys. 394: 177-199 (2019) - [j79]Michael O'Neill, Stephen J. Wright:
Behavior of accelerated gradient methods near critical points of nonconvex functions. Math. Program. 176(1-2): 403-427 (2019) - [j78]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:
Predicting kinase inhibitors using bioactivity matrix derived informer sets. PLoS Comput. Biol. 15(8) (2019) - [c46]Gábor Braun, Sebastian Pokutta, Dan Tu, Stephen J. Wright:
Blended Conditonal Gradients. ICML 2019: 735-743 - [c45]Kwang-Sung Jun, Rebecca Willett, Stephen J. Wright, Robert D. Nowak:
Bilinear Bandits with Low-rank Structure. ICML 2019: 3163-3172 - [c44]Ching-pei Lee, Stephen J. Wright:
First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems. ICML 2019: 3754-3762 - [i24]Kwang-Sung Jun, Rebecca Willett, Stephen J. Wright, Robert D. Nowak:
Bilinear Bandits with Low-rank Structure. CoRR abs/1901.02470 (2019) - [i23]Zachary Charles, Shashank Rajput, Stephen J. Wright, Dimitris S. Papailiopoulos:
Convergence and Margin of Adversarial Training on Separable Data. CoRR abs/1905.09209 (2019) - [i22]Ke Chen, Qin Li, Jianfeng Lu, Stephen J. Wright:
A low-rank Schwarz method for radiative transport equation with heterogeneous scattering coefficient. CoRR abs/1906.02176 (2019) - [i21]Ke Chen, Qin Li, Stephen J. Wright:
Schwarz iteration method for elliptic equation with rough media based on random sampling. CoRR abs/1910.02022 (2019) - [i20]Ching-pei Lee, Cong Han Lim, Stephen J. Wright:
A Distributed Quasi-Newton Algorithm for Primal and Dual Regularized Empirical Risk Minimization. CoRR abs/1912.06508 (2019) - [i19]Soroosh Khoram, Stephen J. Wright, Jing Li:
Interleaved Composite Quantization for High-Dimensional Similarity Search. CoRR abs/1912.08756 (2019) - 2018
- [j77]Clément W. Royer, Stephen J. Wright:
Complexity Analysis of Second-Order Line-Search Algorithms for Smooth Nonconvex Optimization. SIAM J. Optim. 28(2): 1448-1477 (2018) - [j76]Taedong Kim, Stephen J. Wright:
PMU Placement for Line Outage Identification via Multinomial Logistic Regression. IEEE Trans. Smart Grid 9(1): 122-131 (2018) - [c43]Xuezhou Zhang, Xiaojin Zhu, Stephen J. Wright:
Training Set Debugging Using Trusted Items. AAAI 2018: 4482-4489 - [c42]Bin Hu, Stephen J. Wright, Laurent Lessard:
Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs. ICML 2018: 2043-2052 - [c41]Ching-pei Lee, Cong Han Lim, Stephen J. Wright:
A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization. KDD 2018: 1646-1655 - [c40]Hongyi Wang, Scott Sievert, Shengchao Liu, Zachary Charles, Dimitris S. Papailiopoulos, Stephen J. Wright:
ATOMO: Communication-efficient Learning via Atomic Sparsification. NeurIPS 2018: 9872-9883 - [c39]Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen J. Wright, David Page:
Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. UAI 2018: 156-166 - [i18]Xuezhou Zhang, Xiaojin Zhu, Stephen J. Wright:
Training Set Debugging Using Trusted Items. CoRR abs/1801.08019 (2018) - [i17]Ching-pei Lee, Cong Han Lim, Stephen J. Wright:
A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization. CoRR abs/1803.01370 (2018) - [i16]Gábor Braun, Sebastian Pokutta, Dan Tu, Stephen J. Wright:
Blended Conditional Gradients: the unconditioning of conditional gradients. CoRR abs/1805.07311 (2018) - [i15]Bin Hu, Stephen J. Wright, Laurent Lessard:
Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs. CoRR abs/1806.03677 (2018) - [i14]Hongyi Wang, Scott Sievert, Shengchao Liu, Zachary Charles, Dimitris S. Papailiopoulos, Stephen J. Wright:
ATOMO: Communication-efficient Learning via Atomic Sparsification. CoRR abs/1806.04090 (2018) - 2017
- [c38]Kwang-Sung Jun, Francesco Orabona, Stephen J. Wright, Rebecca Willett:
Improved Strongly Adaptive Online Learning using Coin Betting. AISTATS 2017: 943-951 - [c37]Cong Han Lim, Stephen J. Wright:
k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms. NIPS 2017: 284-292 - [i13]Ching-pei Lee, Stephen J. Wright:
Using Neural Networks to Detect Line Outages from PMU Data. CoRR abs/1710.05916 (2017) - [i12]Kwang-Sung Jun, Francesco Orabona, Stephen J. Wright, Rebecca Willett:
Online Learning for Changing Environments using Coin Betting. CoRR abs/1711.02545 (2017) - 2016
- [j75]Ryan Kennedy, Laura Balzano, Stephen J. Wright, Camillo J. Taylor:
Online algorithms for factorization-based structure from motion. Comput. Vis. Image Underst. 150: 139-152 (2016) - [j74]Ji Liu, Stephen J. Wright:
An accelerated randomized Kaczmarz algorithm. Math. Comput. 85(297): 153-178 (2016) - [j73]Adrian S. Lewis, Stephen J. Wright:
A proximal method for composite minimization. Math. Program. 158(1-2): 501-546 (2016) - [j72]Simon Haykin, Stephen J. Wright, Yoshua Bengio:
Big Data: Theoretical Aspects [Scanning the Issue]. Proc. IEEE 104(1): 8-10 (2016) - [j71]Taedong Kim, Stephen J. Wright, Daniel Bienstock, Sean Harnett:
Analyzing Vulnerability of Power Systems with Continuous Optimization Formulations. IEEE Trans. Netw. Sci. Eng. 3(3): 132-146 (2016) - [c36]Cong Han Lim, Stephen J. Wright:
Efficient Bregman Projections onto the Permutahedron and Related Polytopes. AISTATS 2016: 1205-1213 - [c35]Yasin Abbasi-Yadkori, Peter L. Bartlett, Stephen J. Wright:
A Fast and Reliable Policy Improvement Algorithm. AISTATS 2016: 1338-1346 - [i11]Kwang-Sung Jun, Francesco Orabona, Rebecca Willett, Stephen J. Wright:
Improved Strongly Adaptive Online Learning using Coin Betting. CoRR abs/1610.04578 (2016) - 2015
- [j70]Laura Balzano, Stephen J. Wright:
Local Convergence of an Algorithm for Subspace Identification from Partial Data. Found. Comput. Math. 15(5): 1279-1314 (2015) - [j69]Ji Liu, Stephen J. Wright, Christopher Ré, Victor Bittorf, Srikrishna Sridhar:
An asynchronous parallel stochastic coordinate descent algorithm. J. Mach. Learn. Res. 16: 285-322 (2015) - [j68]Stephen J. Wright:
Coordinate descent algorithms. Math. Program. 151(1): 3-34 (2015) - [j67]Ji Liu, Stephen J. Wright:
Asynchronous Stochastic Coordinate Descent: Parallelism and Convergence Properties. SIAM J. Optim. 25(1): 351-376 (2015) - [j66]Nikhil Rao, Parikshit Shah, Stephen J. Wright:
Forward-Backward Greedy Algorithms for Atomic Norm Regularization. IEEE Trans. Signal Process. 63(21): 5798-5811 (2015) - 2014
- [j65]Stephen J. Wright:
Research Spotlights. SIAM Rev. 56(2): 259 (2014) - [j64]Stephen J. Wright:
Research Spotlights. SIAM Rev. 56(3): 459 (2014) - [c34]Nikhil Rao, Parikshit Shah, Stephen J. Wright:
Forward - Backward greedy algorithms for signal demixing. ACSSC 2014: 437-441 - [c33]Ji Liu, Stephen J. Wright, Christopher Ré, Victor Bittorf, Srikrishna Sridhar:
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm. ICML 2014: 469-477 - [c32]Cong Han Lim, Stephen J. Wright:
Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems. NIPS 2014: 2168-2176 - [c31]Ryan Kennedy, Laura Balzano, Stephen J. Wright, Camillo J. Taylor:
Online algorithms for factorization-based structure from motion. WACV 2014: 37-44 - [i10]Ji Liu, Stephen J. Wright, Srikrishna Sridhar:
An Asynchronous Parallel Randomized Kaczmarz Algorithm. CoRR abs/1401.4780 (2014) - [i9]Nikhil Rao, Parikshit Shah, Stephen J. Wright:
Forward - Backward Greedy Algorithms for Atomic Norm Regularization. CoRR abs/1404.5692 (2014) - 2013
- [j63]Caroline Uhler, Stephen J. Wright:
Packing Ellipsoids with Overlap. SIAM Rev. 55(4): 671-706 (2013) - [j62]Stephen J. Wright, Dimitri Kanevsky, Li Deng, Xiaodong He, Georg Heigold, Haizhou Li:
Optimization Algorithms and Applications for Speech and Language Processing. IEEE Trans. Speech Audio Process. 21(11): 2231-2243 (2013) - [c30]Laura Balzano, Stephen J. Wright:
On GROUSE and incremental SVD. CAMSAP 2013: 1-4 - [c29]Nikhil Rao, Parikshit Shah, Stephen J. Wright, Robert D. Nowak:
A greedy forward-backward algorithm for atomic norm constrained minimization. ICASSP 2013: 5885-5889 - [c28]Stephen J. Wright:
Optimization in learning and data analysis. KDD 2013: 3 - [c27]Srikrishna Sridhar, Stephen J. Wright, Christopher Ré, Ji Liu, Victor Bittorf, Ce Zhang:
An Approximate, Efficient LP Solver for LP Rounding. NIPS 2013: 2895-2903 - [i8]Laura Balzano, Stephen J. Wright:
Local Convergence of an Algorithm for Subspace Identification from Partial Data. CoRR abs/1306.3391 (2013) - [i7]Laura Balzano, Stephen J. Wright:
On GROUSE and Incremental SVD. CoRR abs/1307.5494 (2013) - [i6]Ryan Kennedy, Laura Balzano, Stephen J. Wright, Camillo J. Taylor:
Online Algorithms for Factorization-Based Structure from Motion. CoRR abs/1309.6964 (2013) - [i5]Srikrishna Sridhar, Victor Bittorf, Ji Liu, Ce Zhang, Christopher Ré, Stephen J. Wright:
An Approximate, Efficient Solver for LP Rounding. CoRR abs/1311.2661 (2013) - 2012
- [j61]Weiliang Shi, Grace Wahba, Rafael A. Irizarry, Héctor Corrada Bravo, Stephen J. Wright:
The partitioned LASSO-patternsearch algorithm with application to gene expression data. BMC Bioinform. 13: 98 (2012) - [j60]Srikrishna Sridhar, Patricia Flatley Brennan, Stephen J. Wright, Stephen M. Robinson:
Optimizing financial effects of HIE: a multi-party linear programming approach. J. Am. Medical Informatics Assoc. 19(6): 1082-1088 (2012) - [j59]Sangkyun Lee, Stephen J. Wright:
Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning. J. Mach. Learn. Res. 13: 1705-1744 (2012) - [j58]Stephen J. Wright:
Accelerated Block-coordinate Relaxation for Regularized Optimization. SIAM J. Optim. 22(1): 159-186 (2012) - [c26]Dimitri Kanevsky, Georg Heigold, Stephen J. Wright, Hermann Ney:
Overview of large scale optimization for discriminative training in speech recognition. ICASSP 2012: 5233-5236 - [c25]Sangkyun Lee, Stephen J. Wright:
ASSET: Approximate Stochastic Subgradient Estimation Training for Support Vector Machines. ICPRAM (1) 2012: 223-228 - [i4]Ji Liu, Stephen J. Wright:
Robust Dequantized Compressive Sensing. CoRR abs/1207.0577 (2012) - 2011
- [j57]Gabriele Pannocchia, James B. Rawlings, Stephen J. Wright:
Conditions under which suboptimal nonlinear MPC is inherently robust. Syst. Control. Lett. 60(9): 747-755 (2011) - [j56]Adrian S. Lewis, Stephen J. Wright:
Identifying Activity. SIAM J. Optim. 21(2): 597-614 (2011) - [c24]Gabriele Pannocchia, James B. Rawlings, Stephen J. Wright:
Inherently robust suboptimal nonlinear MPC: Theory and application. CDC/ECC 2011: 3398-3403 - [c23]Nikhil S. Rao, Robert D. Nowak, Stephen J. Wright, Nick G. Kingsbury:
Convex approaches to model wavelet sparsity patterns. ICIP 2011: 1917-1920 - [c22]Sangkyun Lee, Stephen J. Wright:
Manifold Identification of Dual Averaging Methods for Regularized Stochastic Online Learning. ICML 2011: 1121-1128 - [c21]Benjamin Recht, Christopher Ré, Stephen J. Wright, Feng Niu:
Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent. NIPS 2011: 693-701 - [i3]Nikhil S. Rao, Robert D. Nowak, Stephen J. Wright, Nick G. Kingsbury:
Convex Approaches to Model Wavelet Sparsity Patterns. CoRR abs/1104.4385 (2011) - [i2]Feng Niu, Benjamin Recht, Christopher Ré, Stephen J. Wright:
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent. CoRR abs/1106.5730 (2011) - [i1]Sangkyun Lee, Stephen J. Wright:
Approximate Stochastic Subgradient Estimation Training for Support Vector Machines. CoRR abs/1111.0432 (2011) - 2010
- [j55]Mingqiang Zhu, Stephen J. Wright, Tony F. Chan:
Duality-based algorithms for total-variation-regularized image restoration. Comput. Optim. Appl. 47(3): 377-400 (2010) - [j54]Joel A. Tropp, Stephen J. Wright:
Computational Methods for Sparse Solution of Linear Inverse Problems. Proc. IEEE 98(6): 948-958 (2010) - [j53]Brett T. Stewart, Aswin N. Venkat, James B. Rawlings, Stephen J. Wright, Gabriele Pannocchia:
Cooperative distributed model predictive control. Syst. Control. Lett. 59(8): 460-469 (2010) - [c20]Brett T. Stewart, James B. Rawlings, Stephen J. Wright:
Hierarchical cooperative distributed model predictive control. ACC 2010: 3963-3968 - [c19]Webb Miller, Stephen J. Wright, Yu Zhang, Stephan C. Schuster, Vanessa M. Hayes:
Optimization Methods for Selecting Founder Populations for Captive Breeding of Endangered Species. Pacific Symposium on Biocomputing 2010: 43-53
2000 – 2009
- 2009
- [j52]Christina Oberlin, Stephen J. Wright:
An accelerated Newton method for equations with semismooth Jacobians and nonlinear complementarity problems. Math. Program. 117(1-2): 355-386 (2009) - [j51]Stephen J. Wright, Robert D. Nowak, Mário A. T. Figueiredo:
Sparse reconstruction by separable approximation. IEEE Trans. Signal Process. 57(7): 2479-2493 (2009) - [c18]Sangkyun Lee, Stephen J. Wright:
Decomposition Algorithms for Training Large-Scale Semiparametric Support Vector Machines. ECML/PKDD (2) 2009: 1-14 - [c17]Héctor Corrada Bravo, Stephen J. Wright, Kevin H. Eng, Sündüz Keles, Grace Wahba:
Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming. AISTATS 2009: 41-48 - 2008
- [j50]Ryan M. Bannen, Vanitha Suresh, George N. Phillips Jr., Stephen J. Wright, Julie C. Mitchell:
Optimal design of thermally stable proteins. Bioinform. 24(20): 2339-2343 (2008) - [j49]Aswin N. Venkat, Ian A. Hiskens, James B. Rawlings, Stephen J. Wright:
Distributed MPC Strategies With Application to Power System Automatic Generation Control. IEEE Trans. Control. Syst. Technol. 16(6): 1192-1206 (2008) - [c16]Stephen J. Wright, Robert D. Nowak, Mário A. T. Figueiredo:
Sparse reconstruction by separable approximation. ICASSP 2008: 3373-3376 - [c15]Joseph Chabarek, Joel Sommers, Paul Barford, Cristian Estan, David Tsiang, Stephen J. Wright:
Power Awareness in Network Design and Routing. INFOCOM 2008: 457-465 - 2007
- [b3]Michael C. Ferris, Olvi L. Mangasarian, Stephen J. Wright:
Linear programming with MATLAB. MPS-SIAM series on optimization 7, SIAM 2007, ISBN 978-0-89871-643-6, pp. I-XI, 1-266 - [j48]Gabriele Pannocchia, James B. Rawlings, Stephen J. Wright:
Fast, large-scale model predictive control by partial enumeration. Autom. 43(5): 852-860 (2007) - [j47]Gino J. Lim, Michael C. Ferris, Stephen J. Wright, David M. Shepard, Matthew A. Earl:
An Optimization Framework for Conformal Radiation Treatment Planning. INFORMS J. Comput. 19(3): 366-380 (2007) - [j46]Mário A. T. Figueiredo, Robert D. Nowak, Stephen J. Wright:
Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems. J. Sel. Topics Signal Processing 1(4): 586-597 (2007) - [j45]Mihai Anitescu, Paul Tseng, Stephen J. Wright:
Elastic-mode algorithms for mathematical programs with equilibrium constraints: global convergence and stationarity properties. Math. Program. 110(2): 337-371 (2007) - [j44]Roummel F. Marcia, Julie C. Mitchell, Stephen J. Wright:
Global optimization in protein docking using clustering, underestimation and semidefinite programming. Optim. Methods Softw. 22(5): 803-811 (2007) - [c14]Michael C. Ferris, Patricia Flatley Brennan, Lisa Tang, Jenna L. Marquard, Stephen M. Robinson, Stephen J. Wright:
Creating operations research models to guide RHIO decision making. AMIA 2007 - [c13]Andrew B. Goldberg, Xiaojin Zhu, Stephen J. Wright:
Dissimilarity in Graph-Based Semi-Supervised Classification. AISTATS 2007: 155-162 - 2006
- [j43]Jeff T. Linderoth, Alexander Shapiro, Stephen J. Wright:
The empirical behavior of sampling methods for stochastic programming. Ann. Oper. Res. 142(1): 215-241 (2006) - [j42]Arinbjörn Ólafsson, Stephen J. Wright:
Linear programing formulations and algorithms for radiotherapy treatment planning. Optim. Methods Softw. 21(2): 201-231 (2006) - [j41]Christina Oberlin, Stephen J. Wright:
Active Set Identification in Nonlinear Programming. SIAM J. Optim. 17(2): 577-605 (2006) - [c12]Aswin N. Venkat, James B. Rawlings, Stephen J. Wright:
Implementable distributed model predictive control with guaranteed performance properties. ACC 2006 - [c11]Aswin N. Venkat, Ian A. Hiskens, James B. Rawlings, Stephen J. Wright:
Distributed Output Feedback MPC for Power System Control. CDC 2006: 4038-4045 - [c10]Ahmed Ayad, Jeffrey F. Naughton, Stephen J. Wright, Utkarsh Srivastava:
Approximating StreamingWindow Joins Under CPU Limitations. ICDE 2006: 142 - 2005
- [j40]Stephen J. Wright:
An Algorithm for Degenerate Nonlinear Programming with Rapid Local Convergence. SIAM J. Optim. 15(3): 673-696 (2005) - [j39]Berwin A. Turlach, William N. Venables, Stephen J. Wright:
Simultaneous Variable Selection. Technometrics 47(3): 349-363 (2005) - [c9]Patricia Flatley Brennan, Michael C. Ferris, Stephen M. Robinson, Stephen J. Wright, Jenna L. Marquard:
Modeling Participation in the NHII: Operations Research Approach. AMIA 2005 - [c8]Aswin N. Venkat, James B. Rawlings, Stephen J. Wright:
Stability and optimality of distributed model predictive control. CDC/ECC 2005: 6680-6685 - [p1]Jeff T. Linderoth, Stephen J. Wright:
5. Computational Grids for Stochastic Programming. Applications of Stochastic Programming 2005: 61-77 - 2004
- [j38]Matthew J. Tenny, Stephen J. Wright, James B. Rawlings:
Nonlinear Model Predictive Control via Feasibility-Perturbed Sequential Quadratic Programming. Comput. Optim. Appl. 28(1): 87-121 (2004) - [j37]Daniel Ralph, Stephen J. Wright:
Some properties of regularization and penalization schemes for MPECs. Optim. Methods Softw. 19(5): 527-556 (2004) - [j36]Stephen J. Wright, Matthew J. Tenny:
A Feasible Trust-Region Sequential Quadratic Programming Algorithm. SIAM J. Optim. 14(4): 1074-1105 (2004) - [j35]Jussara M. Almeida, Derek L. Eager, Mary K. Vernon, Stephen J. Wright:
Minimizing delivery cost in scalable streaming content distribution systems. IEEE Trans. Multim. 6(2): 356-365 (2004) - [c7]Zheng Huang, Lei Chen, Jin-yi Cai, Deborah S. Gross, David R. Musicant, Raghu Ramakrishnan, James J. Schauer, Stephen J. Wright:
Mass Spectrum Labeling: Theory and Practice. ICDM 2004: 122-129 - 2003
- [j34]Jeff T. Linderoth, Stephen J. Wright:
Decomposition Algorithms for Stochastic Programming on a Computational Grid. Comput. Optim. Appl. 24(2-3): 207-250 (2003) - [j33]Stephen J. Wright:
Constraint identification and algorithm stabilization for degenerate nonlinear programs. Math. Program. 95(1): 137-160 (2003) - [j32]Gabriele Pannocchia, Stephen J. Wright, James B. Rawlings:
Existence and computation of infinite horizon model predictive control with active steady-state input constraints. IEEE Trans. Autom. Control. 48(6): 1002-1006 (2003) - [j31]E. Michael Gertz, Stephen J. Wright:
Object-oriented software for quadratic programming. ACM Trans. Math. Softw. 29(1): 58-81 (2003) - [c6]Vikram S. Adve, James C. Browne, Brian Ensink, John R. Rice, Patricia J. Teller, Mary K. Vernon, Stephen J. Wright:
An Approach to Optimizing Adaptive Parabolic PDE Solvers for the Grid. IPDPS 2003: 210 - 2002
- [j30]Luís Nunes Vicente, Stephen J. Wright:
Local Convergence of a Primal-Dual Method for Degenerate Nonlinear Programming. Comput. Optim. Appl. 22(3): 311-328 (2002) - [j29]Stephen J. Wright, Dominique Orban:
Properties of the Log-Barrier Function on Degenerate Nonlinear Programs. Math. Oper. Res. 27(3): 585-613 (2002) - [j28]E. Alper Yildirim, Stephen J. Wright:
Warm-Start Strategies in Interior-Point Methods for Linear Programming. SIAM J. Optim. 12(3): 782-810 (2002) - [j27]Stephen J. Wright:
Modifying SQP for Degenerate Problems. SIAM J. Optim. 13(2): 470-497 (2002) - [c5]El-Sayed M. E. Mostafa, Luís Nunes Vicente, Stephen J. Wright:
Numerical Behavior of a Stabilized SQP Method for Degenerate NLP Problems. COCOS 2002: 123-141 - [c4]Det Buaklee, Gregory F. Tracy, Mary K. Vernon, Stephen J. Wright:
Near-optimal adaptive control of a large grid application. ICS 2002: 315-326 - [c3]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:
Model-Based Control of Adaptive Applications: An Overview. IPDPS 2002 - 2001
- [j26]Stephen J. Wright:
On the convergence of the Newton/log-barrier method. Math. Program. 90(1): 71-100 (2001) - [j25]Stephen J. Wright:
On reduced convex QP formulations of monotone LCPs. Math. Program. 90(3): 459-473 (2001) - [j24]Stephen J. Wright:
Effects of Finite-Precision Arithmetic on Interior-Point Methods for Nonlinear Programming. SIAM J. Optim. 12(1): 36-78 (2001) - 2000
- [j23]Daniel Ralph, Stephen J. Wright:
Superlinear Convergence of an Interior-Point Method Despite Dependent Constraints. Math. Oper. Res. 25(2): 179-194 (2000)
1990 – 1999
- 1999
- [b2]Jorge Nocedal, Stephen J. Wright:
Numerical Optimization. Springer 1999, ISBN 978-0-387-98793-4, pp. 1-634 - [j22]Stephen J. Wright, Florian Jarre:
The role of linear objective functions in barrier methods. Math. Program. 84(2): 357-373 (1999) - [j21]Stephen J. Wright:
Modified Cholesky Factorizations in Interior-Point Algorithms for Linear Programming. SIAM J. Optim. 9(4): 1159-1191 (1999) - [j20]Joseph Czyzyk, Timothy Wisniewski, Stephen J. Wright:
Optimization Case Studies in the NEOS Guide. SIAM Rev. 41(1): 148-163 (1999) - [c2]Stephen J. Wright:
Recent Developments in Interior-Point Methods. System Modelling and Optimization 1999: 311-334 - 1998
- [j19]Stephen J. Wright:
Superlinear Convergence of a Stabilized SQP Method to a Degenerate Solution. Comput. Optim. Appl. 11(3): 253-275 (1998) - 1997
- [b1]Stephen J. Wright:
Primal-Dual Interior-Point Methods. Other Titles in Applied Mathematics, SIAM 1997, ISBN 978-0-89871-382-4, pp. I-XX, 1-289 - [c1]Thomas F. Coleman, Joseph Czyzyk, Chunguang Sun, Michael Wagner, Stephen J. Wright:
pPCx: Parallel Software for Linear Programming. PP 1997 - 1996
- [j18]Stephen J. Wright:
A path-following interior-point algorithm for linear and quadratic problems. Ann. Oper. Res. 62(1): 103-130 (1996) - [j17]Stephen J. Wright, Daniel Ralph:
A Superlinear Infeasible-Interior-Point Algorithm for Monotone Complementarity Problems. Math. Oper. Res. 21(4): 815-838 (1996) - [j16]Stephen J. Wright, Yin Zhang:
A superquadratic infeasible-interior-point method for linear complementarity problems. Math. Program. 73: 269-289 (1996) - [j15]Renato D. C. Monteiro, Stephen J. Wright:
A Superlinear Infeasible-Interior-Point Affine Scaling Algorithm for LCP. SIAM J. Optim. 6(1): 1-18 (1996) - 1995
- [j14]Renato D. C. Monteiro, Stephen J. Wright:
Superlinear primal-dual affine scaling algorithms for LCP. Math. Program. 69: 311-333 (1995) - [j13]Stephen J. Wright:
Stability of Linear Equations Solvers in Interior-Point Methods. SIAM J. Matrix Anal. Appl. 16(4): 1287-1307 (1995) - 1994
- [j12]Renato D. C. Monteiro, Stephen J. Wright:
Local convergence of interior-point algorithms for degenerate monotone LCP. Comput. Optim. Appl. 3(2): 131-155 (1994) - [j11]Stephen J. Wright:
An infeasible-interior-point algorithm for linear complementarity problems. Math. Program. 67: 29-51 (1994) - 1993
- [j10]Stephen J. Wright:
A Collection of Problems for Which Gaussian Elimination with Partial Pivoting is Unstable. SIAM J. Sci. Comput. 14(1): 231-238 (1993) - 1992
- [j9]Stephen J. Wright:
An Interior-Point Algorithm for Linearly Constrained Optimization. SIAM J. Optim. 2(3): 450-473 (1992) - [j8]Stephen J. Wright:
Stable Parallel Algorithms for Two-Point Boundary Value Problems. SIAM J. Sci. Comput. 13(3): 742-764 (1992) - 1991
- [j7]C. T. Kelley, Stephen J. Wright:
Sequential quadratic programming for certain parameter identification problems. Math. Program. 51: 281-305 (1991) - [j6]Stephen J. Wright:
Partitioned Dynamic Programming for Optimal Control. SIAM J. Optim. 1(4): 620-642 (1991) - [j5]Stephen J. Wright:
Parallel Algorithms for Banded Linear Systems. SIAM J. Sci. Comput. 12(4): 824-842 (1991) - 1990
- [j4]Stephen J. Wright:
Solution of discrete-time optimal control problems on parallel computers. Parallel Comput. 16(2-3): 221-237 (1990) - [j3]Stephen J. Wright, V. Pereyra:
Adaptation of a Two-Point Boundary Value Problem Solver to a Vector-Multiprocessor Environment. SIAM J. Sci. Comput. 11(3): 425-449 (1990)
1980 – 1989
- 1989
- [j2]Stephen J. Wright:
An inexact algorithm for composite nondifferentiable optimization. Math. Program. 44(1-3): 221-234 (1989) - 1987
- [j1]Stephen J. Wright:
Local properties of inexact methods for minimizing nonsmooth composite functions. Math. Program. 37(2): 232-252 (1987)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-08 20:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
