Stephen J. Wright
Orcid: 0000-0001-6815-7379Affiliations:
- University of Wisconsin-Madison, Deartment of Computer Sciences, WI, USA
- Argonne National Laboratory, Mathematics and Computer Science Division, IL, USA (former)
- North Carolina State University, Mathematics Department, Raleigh, NC, USA (former)
According to our database1,
Stephen J. Wright
authored at least 185 papers
between 1987 and 2024.
Collaborative distances:
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Online presence:
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on orcid.org
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on cs.wisc.edu
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Bibliography
2024
Math. Program., September, 2024
A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic Systems.
CoRR, 2024
Extending the Reach of First-Order Algorithms for Nonconvex Min-Max Problems with Cohypomonotonicity.
CoRR, 2024
CoRR, 2024
How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Math. Program., April, 2023
A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees.
J. Mach. Learn. Res., 2023
A randomized algorithm for nonconvex minimization with inexact evaluations and complexity guarantees.
CoRR, 2023
Multi-output multilevel best linear unbiased estimators via semidefinite programming.
CoRR, 2023
Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization.
Proceedings of the International Conference on Machine Learning, 2023
2022
Multiscale Model. Simul., September, 2022
J. Mach. Learn. Res., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Parallelizing Subgradient Methods for the Lagrangian Dual in Stochastic Mixed-Integer Programming.
INFORMS J. Optim., January, 2021
Trust-Region Newton-CG with Strong Second-Order Complexity Guarantees for Nonconvex Optimization.
SIAM J. Optim., 2021
A Low-Rank Schwarz Method for Radiative Transfer Equation With Heterogeneous Scattering Coefficient.
Multiscale Model. Simul., 2021
Complexity of Proximal Augmented Lagrangian for Nonconvex Optimization with Nonlinear Equality Constraints.
J. Sci. Comput., 2021
J. Optim. Theory Appl., 2021
A reduced order Schwarz method for nonlinear multiscale elliptic equations based on two-layer neural networks.
CoRR, 2021
On the Global Convergence of Gradient Descent for multi-layer ResNets in the mean-field regime.
CoRR, 2021
Comput. Chem. Eng., 2021
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the Conference on Learning Theory, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
SIAM J. Sci. Comput., 2020
SIAM J. Matrix Anal. Appl., 2020
A Newton-CG algorithm with complexity guarantees for smooth unconstrained optimization.
Math. Program., 2020
Randomized Sampling for Basis Function Construction in Generalized Finite Element Methods.
Multiscale Model. Simul., 2020
Inexact Variable Metric Stochastic Block-Coordinate Descent for Regularized Optimization.
J. Optim. Theory Appl., 2020
2019
PLoS Comput. Biol., 2019
Behavior of accelerated gradient methods near critical points of nonconvex functions.
Math. Program., 2019
A discrete least squares collocation method for two-dimensional nonlinear time-dependent partial differential equations.
J. Comput. Phys., 2019
Efficient optimization of natural resonance theory weightings and bond orders by gram-based convex programming.
J. Comput. Chem., 2019
CoRR, 2019
A Distributed Quasi-Newton Algorithm for Primal and Dual Regularized Empirical Risk Minimization.
CoRR, 2019
Schwarz iteration method for elliptic equation with rough media based on random sampling.
CoRR, 2019
A low-rank Schwarz method for radiative transport equation with heterogeneous scattering coefficient.
CoRR, 2019
Comput. Optim. Appl., 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
IEEE Trans. Smart Grid, 2018
Complexity Analysis of Second-Order Line-Search Algorithms for Smooth Nonconvex Optimization.
SIAM J. Optim., 2018
CoRR, 2018
Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
IEEE Trans. Netw. Sci. Eng., 2016
Comput. Vis. Image Underst., 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
IEEE Trans. Signal Process., 2015
SIAM J. Optim., 2015
J. Mach. Learn. Res., 2015
Found. Comput. Math., 2015
2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
2013
IEEE Trans. Speech Audio Process., 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013
2012
SIAM J. Optim., 2012
Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning.
J. Mach. Learn. Res., 2012
J. Am. Medical Informatics Assoc., 2012
The partitioned LASSO-patternsearch algorithm with application to gene expression data.
BMC Bioinform., 2012
ASSET: Approximate Stochastic Subgradient Estimation Training for Support Vector Machines.
Proceedings of the ICPRAM 2012, 2012
Overview of large scale optimization for discriminative training in speech recognition.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
Syst. Control. Lett., 2011
CoRR, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Manifold Identification of Dual Averaging Methods for Regularized Stochastic Online Learning.
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2010
Proc. IEEE, 2010
Comput. Optim. Appl., 2010
Optimization Methods for Selecting Founder Populations for Captive Breeding of Endangered Species.
Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010
Proceedings of the American Control Conference, 2010
2009
An accelerated Newton method for equations with semismooth Jacobians and nonlinear complementarity problems.
Math. Program., 2009
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
Decomposition Algorithms for Training Large-Scale Semiparametric Support Vector Machines.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
2008
Distributed MPC Strategies With Application to Power System Automatic Generation Control.
IEEE Trans. Control. Syst. Technol., 2008
Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008
2007
Global optimization in protein docking using clustering, underestimation and semidefinite programming.
Optim. Methods Softw., 2007
Elastic-mode algorithms for mathematical programs with equilibrium constraints: global convergence and stationarity properties.
Math. Program., 2007
Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems.
J. Sel. Topics Signal Processing, 2007
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007
INFORMS J. Comput., 2007
Proceedings of the AMIA 2007, 2007
Linear programming with MATLAB.
MPS-SIAM series on optimization 7, SIAM, ISBN: 978-0-89871-643-6, 2007
2006
Optim. Methods Softw., 2006
Ann. Oper. Res., 2006
Proceedings of the 22nd International Conference on Data Engineering, 2006
Proceedings of the 45th IEEE Conference on Decision and Control, 2006
Implementable distributed model predictive control with guaranteed performance properties.
Proceedings of the American Control Conference, 2006
2005
SIAM J. Optim., 2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
Proceedings of the AMIA 2005, 2005
Proceedings of the Applications of Stochastic Programming, 2005
2004
IEEE Trans. Multim., 2004
SIAM J. Optim., 2004
Optim. Methods Softw., 2004
Nonlinear Model Predictive Control via Feasibility-Perturbed Sequential Quadratic Programming.
Comput. Optim. Appl., 2004
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004
2003
Existence and computation of infinite horizon model predictive control with active steady-state input constraints.
IEEE Trans. Autom. Control., 2003
Constraint identification and algorithm stabilization for degenerate nonlinear programs.
Math. Program., 2003
Comput. Optim. Appl., 2003
Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS 2003), 2003
2002
SIAM J. Optim., 2002
Math. Oper. Res., 2002
Comput. Optim. Appl., 2002
Proceedings of the 16th International Parallel and Distributed Processing Symposium (IPDPS 2002), 2002
Proceedings of the 16th international conference on Supercomputing, 2002
Proceedings of the Global Optimization and Constraint Satisfaction, 2002
2001
Effects of Finite-Precision Arithmetic on Interior-Point Methods for Nonlinear Programming.
SIAM J. Optim., 2001
2000
Math. Oper. Res., 2000
1999
Modified Cholesky Factorizations in Interior-Point Algorithms for Linear Programming.
SIAM J. Optim., 1999
Recent Developments in Interior-Point Methods.
Proceedings of the System Modelling and Optimization: Methods, 1999
1998
Comput. Optim. Appl., 1998
1997
pPCx: Parallel Software for Linear Programming.
Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, 1997
Other Titles in Applied Mathematics, SIAM, ISBN: 978-1-61197-145-3, 1997
1996
SIAM J. Optim., 1996
A superquadratic infeasible-interior-point method for linear complementarity problems.
Math. Program., 1996
A Superlinear Infeasible-Interior-Point Algorithm for Monotone Complementarity Problems.
Math. Oper. Res., 1996
Ann. Oper. Res., 1996
1995
SIAM J. Matrix Anal. Appl., 1995
1994
Math. Program., 1994
Comput. Optim. Appl., 1994
1993
A Collection of Problems for Which Gaussian Elimination with Partial Pivoting is Unstable.
SIAM J. Sci. Comput., 1993
1992
SIAM J. Sci. Comput., 1992
SIAM J. Optim., 1992
1991
Math. Program., 1991
1990
Adaptation of a Two-Point Boundary Value Problem Solver to a Vector-Multiprocessor Environment.
SIAM J. Sci. Comput., 1990
Parallel Comput., 1990
1989
Math. Program., 1989
1987
Math. Program., 1987