Stephen J. Wright

ORCID

Publication Activity (10 Years)

Years Active: 1987-2023
Publications (10 Years): 69

Top Venues

Publications

Changyu Gao, Stephen J. Wright
Differentially Private Optimization for Smooth Nonconvex ERM. CoRR (2023)
Zhiyan Ding, Shi Chen, Qin Li, Stephen J. Wright
Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis. J. Mach. Learn. Res. 23 (2022)
Ahmet Alacaoglu, Volkan Cevher, Stephen J. Wright
On the Complexity of a Practical Primal-Dual Coordinate Method. CoRR (2022)
Xufeng Cai, Chaobing Song, Stephen J. Wright, Jelena Diakonikolas
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization. CoRR (2022)
Pratyush Kumar, James B. Rawlings, Stephen J. Wright
Industrial, large-scale model predictive control with structured neural networks. Comput. Chem. Eng. 150 (2021)
Zhiyan Ding, Shi Chen, Qin Li, Stephen J. Wright
Overparameterization of deep ResNet: zero loss and mean-field analysis. CoRR (2021)
Chaobing Song, Stephen J. Wright, Jelena Diakonikolas
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums. CoRR (2021)
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) (2021)
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) (2021)
Ke Chen, Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
Low-rank approximation for multiscale PDEs. CoRR (2021)
Axel Böhm, Stephen J. Wright
Variable Smoothing for Weakly Convex Composite Functions. J. Optim. Theory Appl. 188 (3) (2021)
Chaobing Song, Stephen J. Wright, Jelena Diakonikolas
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums. ICML (2021)
Chaobing Song, Cheuk Yin Lin, Stephen J. Wright, Jelena Diakonikolas
Coordinate Linear Variance Reduction for Generalized Linear Programming. CoRR (2021)
Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright
Random Coordinate Underdamped Langevin Monte Carlo. AISTATS (2021)
Aydin Buluç, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary 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 (2021)
Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright
Random Coordinate Langevin Monte Carlo. COLT (2021)
Yue Xie, Stephen J. Wright
Complexity of Proximal Augmented Lagrangian for Nonconvex Optimization with Nonlinear Equality Constraints. J. Sci. Comput. 86 (3) (2021)
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 (2021)
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 (2021)
Ke Chen, Qin Li, Kit Newton, Stephen J. Wright
Structured Random Sketching for PDE Inverse Problems. SIAM J. Matrix Anal. Appl. 41 (4) (2020)
Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
Manifold Learning and Nonlinear Homogenization. CoRR (2020)
Clément W. Royer, Michael O'Neill, Stephen J. Wright
A Newton-CG algorithm with complexity guarantees for smooth unconstrained optimization. Math. Program. 180 (1) (2020)
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 (2020)
Ching-pei Lee, Stephen J. Wright
Inexact Variable Metric Stochastic Block-Coordinate Descent for Regularized Optimization. J. Optim. Theory Appl. 185 (1) (2020)
Stephen J. Wright, Ching-pei Lee
Analyzing random permutations for cyclic coordinate descent. Math. Comput. 89 (325) (2020)
Ke Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
Random Sampling and Efficient Algorithms for Multiscale PDEs. SIAM J. Sci. Comput. 42 (5) (2020)
Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright
Random Coordinate Langevin Monte Carlo. CoRR (2020)
Nam Ho-Nguyen, Stephen J. Wright
Adversarial Classification via Distributional Robustness with Wasserstein Ambiguity. CoRR (2020)
Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright
Random Coordinate Underdamped Langevin Monte Carlo. CoRR (2020)
Mert Gürbüzbalaban, Asuman E. Ozdaglar, Nuri Denizcan Vanli, Stephen J. Wright
Randomness and permutations in coordinate descent methods. Math. Program. 181 (2) (2020)
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) (2020)
Zachary B. Charles, Shashank Rajput, Stephen J. Wright, Dimitris S. Papailiopoulos
Convergence and Margin of Adversarial Training on Separable Data. CoRR (2019)
Ching-pei Lee, Cong Han Lim, Stephen J. Wright
A Distributed Quasi-Newton Algorithm for Primal and Dual Regularized Empirical Risk Minimization. CoRR (2019)
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 (2019)
Ke Chen, Qin Li, Stephen J. Wright
Schwarz iteration method for elliptic equation with rough media based on random sampling. CoRR (2019)
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) (2019)
Kwang-Sung Jun, Rebecca Willett, Stephen J. Wright, Robert D. Nowak
Bilinear Bandits with Low-rank Structure. CoRR (2019)
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)
Ching-pei Lee, Stephen J. Wright
Inexact Successive quadratic approximation for regularized optimization. Comput. Optim. Appl. 72 (3) (2019)
Kwang-Sung Jun, Rebecca Willett, Stephen J. Wright, Robert D. Nowak
Bilinear Bandits with Low-rank Structure. ICML (2019)
Gábor Braun, Sebastian Pokutta, Dan Tu, Stephen J. Wright
Blended Conditonal Gradients. ICML (2019)
Michael O'Neill, Stephen J. Wright
Behavior of accelerated gradient methods near critical points of nonconvex functions. Math. Program. 176 (1-2) (2019)
Ke Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
A low-rank Schwarz method for radiative transport equation with heterogeneous scattering coefficient. CoRR (2019)
Soroosh Khoram, Stephen J. Wright, Jing Li
Interleaved Composite Quantization for High-Dimensional Similarity Search. CoRR (2019)
Ching-pei Lee, Stephen J. Wright
First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems. ICML (2019)
Xuezhou Zhang, Xiaojin Zhu, Stephen J. Wright
Training Set Debugging Using Trusted Items. CoRR (2018)
Gábor Braun, Sebastian Pokutta, Dan Tu, Stephen J. Wright
Blended Conditional Gradients: the unconditioning of conditional gradients. CoRR (2018)
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 (2018)
Taedong Kim, Stephen J. Wright
PMU Placement for Line Outage Identification via Multinomial Logistic Regression. IEEE Trans. Smart Grid 9 (1) (2018)
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)
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)
Hongyi Wang, Scott Sievert, Shengchao Liu, Zachary B. Charles, Dimitris S. Papailiopoulos, Stephen J. Wright
ATOMO: Communication-efficient Learning via Atomic Sparsification. CoRR (2018)
Ching-pei Lee, Cong Han Lim, Stephen J. Wright
A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization. CoRR (2018)
Hongyi Wang, Scott Sievert, Shengchao Liu, Zachary B. Charles, Dimitris S. Papailiopoulos, Stephen J. Wright
ATOMO: Communication-efficient Learning via Atomic Sparsification. NeurIPS (2018)
Xuezhou Zhang, Xiaojin Zhu, Stephen J. Wright
Training Set Debugging Using Trusted Items. AAAI (2018)
Ching-pei Lee, Cong Han Lim, Stephen J. Wright
A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization. KDD (2018)
Clément W. Royer, Stephen J. Wright
Complexity Analysis of Second-Order Line-Search Algorithms for Smooth Nonconvex Optimization. SIAM J. Optim. 28 (2) (2018)
Cong Han Lim, Stephen J. Wright
k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms. NIPS (2017)
Kwang-Sung Jun, Francesco Orabona, Stephen J. Wright, Rebecca Willett
Online Learning for Changing Environments using Coin Betting. CoRR (2017)
Ching-pei Lee, Stephen J. Wright
Using Neural Networks to Detect Line Outages from PMU Data. CoRR (2017)
Kwang-Sung Jun, Francesco Orabona, Stephen J. Wright, Rebecca Willett
Improved Strongly Adaptive Online Learning using Coin Betting. AISTATS (2017)
Ryan Kennedy, Laura Balzano, Stephen J. Wright, Camillo J. Taylor
Online algorithms for factorization-based structure from motion. Comput. Vis. Image Underst. 150 (2016)
Cong Han Lim, Stephen J. Wright
Efficient Bregman Projections onto the Permutahedron and Related Polytopes. AISTATS (2016)
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) (2016)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Stephen J. Wright
A Fast and Reliable Policy Improvement Algorithm. AISTATS (2016)
Simon Haykin, Stephen J. Wright, Yoshua Bengio
Big Data: Theoretical Aspects [Scanning the Issue]. Proc. IEEE 104 (1) (2016)
Kwang-Sung Jun, Francesco Orabona, Rebecca Willett, Stephen J. Wright
Improved Strongly Adaptive Online Learning using Coin Betting. CoRR (2016)
Adrian S. Lewis, Stephen J. Wright
A proximal method for composite minimization. Math. Program. 158 (1-2) (2016)
Ji Liu, Stephen J. Wright
An accelerated randomized Kaczmarz algorithm. Math. Comput. 85 (297) (2016)
Ji Liu, Stephen J. Wright, Christopher Ré, Victor Bittorf, Srikrishna Sridhar
An asynchronous parallel stochastic coordinate descent algorithm. J. Mach. Learn. Res. 16 (2015)
Laura Balzano, Stephen J. Wright
Local Convergence of an Algorithm for Subspace Identification from Partial Data. Found. Comput. Math. 15 (5) (2015)
Nikhil S. Rao, Parikshit Shah, Stephen J. Wright
Forward-Backward Greedy Algorithms for Atomic Norm Regularization. IEEE Trans. Signal Process. 63 (21) (2015)
Stephen J. Wright
Coordinate descent algorithms. Math. Program. 151 (1) (2015)
Ji Liu, Stephen J. Wright
Asynchronous Stochastic Coordinate Descent: Parallelism and Convergence Properties. SIAM J. Optim. 25 (1) (2015)
Ji Liu, Stephen J. Wright, Christopher Ré, Victor Bittorf, Srikrishna Sridhar
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm. ICML (2014)
Cong Han Lim, Stephen J. Wright
Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems. NIPS (2014)
Nikhil S. Rao, Parikshit Shah, Stephen J. Wright
Forward - Backward Greedy Algorithms for Atomic Norm Regularization. CoRR (2014)
Nikhil S. Rao, Parikshit Shah, Stephen J. Wright
Forward - Backward greedy algorithms for signal demixing. ACSSC (2014)
Stephen J. Wright
Research Spotlights. SIAM Rev. 56 (2) (2014)
Ji Liu, Stephen J. Wright, Srikrishna Sridhar
An Asynchronous Parallel Randomized Kaczmarz Algorithm. CoRR (2014)
Ryan Kennedy, Laura Balzano, Stephen J. Wright, Camillo J. Taylor
Online algorithms for factorization-based structure from motion. WACV (2014)
Stephen J. Wright
Research Spotlights. SIAM Rev. 56 (3) (2014)
Srikrishna Sridhar, Stephen J. Wright, Christopher Ré, Ji Liu, Victor Bittorf, Ce Zhang
An Approximate, Efficient LP Solver for LP Rounding. NIPS (2013)
Laura Balzano, Stephen J. Wright
Local Convergence of an Algorithm for Subspace Identification from Partial Data. CoRR (2013)
Laura Balzano, Stephen J. Wright
On GROUSE and incremental SVD. CAMSAP (2013)
Caroline Uhler, Stephen J. Wright
Packing Ellipsoids with Overlap. SIAM Rev. 55 (4) (2013)
Nikhil S. Rao, Parikshit Shah, Stephen J. Wright, Robert D. Nowak
A greedy forward-backward algorithm for atomic norm constrained minimization. ICASSP (2013)
Ryan Kennedy, Laura Balzano, Stephen J. Wright, Camillo J. Taylor
Online Algorithms for Factorization-Based Structure from Motion. CoRR (2013)
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) (2013)
Stephen J. Wright
Optimization in learning and data analysis. KDD (2013)
Laura Balzano, Stephen J. Wright
On GROUSE and Incremental SVD. CoRR (2013)
Srikrishna Sridhar, Victor Bittorf, Ji Liu, Ce Zhang, Christopher Ré, Stephen J. Wright
An Approximate, Efficient Solver for LP Rounding. CoRR (2013)
Stephen J. Wright
Accelerated Block-coordinate Relaxation for Regularized Optimization. SIAM J. Optim. 22 (1) (2012)
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 (2012)
Ji Liu, Stephen J. Wright
Robust Dequantized Compressive Sensing CoRR (2012)
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) (2012)
Sangkyun Lee, Stephen J. Wright
Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning. J. Mach. Learn. Res. 13 (2012)
Dimitri Kanevsky, Georg Heigold, Stephen J. Wright, Hermann Ney
Overview of large scale optimization for discriminative training in speech recognition. ICASSP (2012)
Sangkyun Lee, Stephen J. Wright
ASSET: Approximate Stochastic Subgradient Estimation Training for Support Vector Machines. ICPRAM (1) (2012)
Sangkyun Lee, Stephen J. Wright
Approximate Stochastic Subgradient Estimation Training for Support Vector Machines CoRR (2011)

Stephen J. Wright.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Stephen J. Wright