World's Best Scientists 2026 revealed!

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Computer Science

D-Index
72
Citations
53774
World Ranking
1629
National Ranking
842

Mathematics

D-Index
70
Citations
51476
World Ranking
263
National Ranking
146

Research.com Recognitions

  • 2011 - SIAM Fellow For contributions to the theory and computational aspects of linear and nonlinear optimization.

Overview

Stephen J. Wright is affiliated with the University of Wisconsin-Madison in the United States. Their research spans multiple fields of study, including Computer Science and Engineering, with significant contributions in subfields such as Computational Mechanics, Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, and Numerical Analysis.

The main topics of their work include:

  • Sparse and Compressive Sensing Techniques
  • Stochastic Gradient Optimization Techniques
  • Advanced Optimization Algorithms Research
  • Advanced Mathematical Modeling in Engineering
  • Numerical methods in inverse problems
  • Model Reduction and Neural Networks
  • Advanced Numerical Methods in Computational Mathematics

Stephen J. Wright has published extensively in various venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Journal of Optimization Theory and Applications
  • Multiscale Modeling and Simulation
  • Computer Methods in Applied Mechanics and Engineering
  • Nature Communications

Among their recent papers are the following:

  • "Operator inference for non-intrusive model reduction with quadratic manifolds" (2022) in Computer Methods in Applied Mechanics and Engineering
  • "Industrial, large-scale model predictive control with structured neural networks" (2021) in Computers & Chemical Engineering
  • "Climate-driven changes in the predictability of seasonal precipitation" (2023) in Nature Communications
  • "Complexity of Proximal Augmented Lagrangian for Nonconvex Optimization with Nonlinear Equality Constraints" (2021) in Journal of Scientific Computing
  • "Biosynthesis, regulation, and engineering of natural products from Lysobacter" (2022) in Natural Product Reports

Frequent collaborators in their research include Qin Li, Jianfeng Lu, Benjamin Recht, Ke Chen, and Zhiyan Ding.

Stephen J. Wright was recognized as a SIAM Fellow in 2011 for contributions to the theory and computational aspects of linear and nonlinear optimization.

Best Publications

  • Numerical Optimization

    Jorge Nocedal;Stephen J. Wright

  • Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems

    M.A.T. Figueiredo;R.D. Nowak;S.J. Wright

  • Primal-Dual Interior-Point Methods

    Stephen J. Wright

  • Sparse Reconstruction by Separable Approximation

    S.J. Wright;R.D. Nowak;M.A.T. Figueiredo

  • Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent

    Benjamin Recht;Christopher Re;Stephen Wright;Feng Niu

  • HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent

    Feng Niu;Benjamin Recht;Christopher Re;Stephen J. Wright

  • Numerical Optimization (Springer Series in Operations Research and Financial Engineering)

    Jorge Nocedal;Stephen J. Wright

  • Coordinate descent algorithms

    Stephen J. Wright

  • Computational Methods for Sparse Solution of Linear Inverse Problems

    Joel A Tropp;Stephen J Wright

  • Power Awareness in Network Design and Routing

    J. Chabarek;J. Sommers;P. Barford;C. Estan

  • Nonlinear Predictive Control and Moving Horizon Estimation — An Introductory Overview

    F. Allgöwer;T. A. Badgwell;J. S. Qin;J. B. Rawlings

  • Distributed MPC Strategies With Application to Power System Automatic Generation Control

    A.N. Venkat;I.A. Hiskens;J.B. Rawlings;S.J. Wright

  • Optimization for Machine Learning

    Suvrit Sra;Sebastian Nowozin;Stephen J. Wright

  • Interior-point methods

    Florian A. Potra;Stephen J. Wright

  • Application of interior-point methods to model predictive control

    C. Y. Rao;S. J. Wright;J. B. Rawlings

  • Cooperative distributed model predictive control

    Brett T. Stewart;Aswin N. Venkat;James B. Rawlings;Stephen J. Wright

  • Optimization Software Guide

    Jorge J. More;Stephen J. Wright

  • Simultaneous Variable Selection

    Berwin A Turlach;William N Venables;Stephen J Wright

  • Toeplitz-Structured Compressed Sensing Matrices

    Waheed U. Bajwa;Jarvis D. Haupt;Gil M. Raz;Stephen J. Wright

  • The empirical behavior of sampling methods for stochastic programming

    Jeff T. Linderoth;Alexander Shapiro;Stephen J. Wright

  • Computational Methods for Sparse Solution of Linear Inverse Problems In many engineering areas, such as signal processing, practical results can be obtained by identifying approaches that yield the greatest quality improvement, or by selecting the most suitable computation methods.

    Joel A. Tropp;Stephen J. Wright

Frequent Co-Authors

James B. Rawlings
James B. Rawlings University of California, Santa Barbara
Jorge Nocedal
Jorge Nocedal Northwestern University
Jorge J. Moré
Jorge J. Moré Argonne National Laboratory
Michael C. Ferris
Michael C. Ferris University of Wisconsin–Madison
Ji Liu
Ji Liu Facebook (United States)
Olvi L. Mangasarian
Olvi L. Mangasarian University of Wisconsin–Madison
Robert Nowak
Robert Nowak University of Wisconsin–Madison
Grace Wahba
Grace Wahba University of Wisconsin–Madison
Christopher Ré
Christopher Ré Stanford University
Rebecca Willett
Rebecca Willett University of Chicago

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