Stephen J. Wright
Affiliations: University of WisconsinMadison, 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 database^{1},
Stephen J. Wright
authored at least 171 papers
between 1987 and 2023.
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Bibliography
2023
Adversarial classification via distributional robustness with Wasserstein ambiguity.
Math. Program., April, 2023
Math. Program., April, 2023
A LineSearch Descent Algorithm for Strict Saddle Functions with Complexity Guarantees.
J. Mach. Learn. Res., 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Multioutput multilevel best linear unbiased estimators via semidefinite programming.
CoRR, 2023
2022
Multiscale Model. Simul., September, 2022
J. Mach. Learn. Res., 2022
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization.
CoRR, 2022
CoRR, 2022
2021
TrustRegion NewtonCG with Strong SecondOrder Complexity Guarantees for Nonconvex Optimization.
SIAM J. Optim., 2021
A LowRank 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
CoRR, 2021
A reduced order Schwarz method for nonlinear multiscale elliptic equations based on twolayer neural networks.
CoRR, 2021
CoRR, 2021
On the Global Convergence of Gradient Descent for multilayer ResNets in the meanfield regime.
CoRR, 2021
CoRR, 2021
Comput. Chem. Eng., 2021
Variance Reduction via PrimalDual Accelerated Dual Averaging for Nonsmooth Convex FiniteSums.
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 NewtonCG algorithm with complexity guarantees for smooth unconstrained optimization.
Math. Program., 2020
Math. Program., 2020
Math. Comput., 2020
Randomized Sampling for Basis Function Construction in Generalized Finite Element Methods.
Multiscale Model. Simul., 2020
Inexact Variable Metric Stochastic BlockCoordinate 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 twodimensional nonlinear timedependent partial differential equations.
J. Comput. Phys., 2019
Efficient optimization of natural resonance theory weightings and bond orders by grambased convex programming.
J. Comput. Chem., 2019
CoRR, 2019
A Distributed QuasiNewton 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 lowrank Schwarz method for radiative transport equation with heterogeneous scattering coefficient.
CoRR, 2019
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 SecondOrder LineSearch 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 ThirtyFourth 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 QuasiNewton 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 ThirtySecond AAAI Conference on Artificial Intelligence, 2018
2017
CoRR, 2017
CoRR, 2017
kSupport 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
Analyzing Vulnerability of Power Systems with Continuous Optimization Formulations.
IEEE Trans. Netw. Sci. Eng., 2016
Proc. IEEE, 2016
Math. Program., 2016
Math. Comput., 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
Asynchronous Stochastic Coordinate Descent: Parallelism and Convergence Properties.
SIAM J. Optim., 2015
Math. Program., 2015
J. Mach. Learn. Res., 2015
Found. Comput. Math., 2015
2014
SIAM Rev., 2014
CoRR, 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
SIAM Rev., 2013
CoRR, 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 58, 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 MultiSensor 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
CoRR, 2012
The partitioned LASSOpatternsearch 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
SIAM J. Optim., 2011
Syst. Control. Lett., 2011
Approximate Stochastic Subgradient Estimation Training for Support Vector Machines
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 1214 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
Syst. Control. Lett., 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
IEEE Trans. Signal Process., 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 LargeScale 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
Bioinform., 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
Elasticmode 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
Autom., 2007
Proceedings of the AMIA 2007, 2007
Linear programming with MATLAB.
MPSSIAM series on optimization 7, SIAM, ISBN: 9780898716436, 2007
2006
SIAM J. Optim., 2006
Linear programing formulations and algorithms for radiotherapy treatment planning.
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
Technometrics, 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 FeasibilityPerturbed Sequential Quadratic Programming.
Comput. Optim. Appl., 2004
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004
2003
ACM Trans. Math. Softw., 2003
Existence and computation of infinite horizon model predictive control with active steadystate 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
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 FinitePrecision Arithmetic on InteriorPoint Methods for Nonlinear Programming.
SIAM J. Optim., 2001
Math. Program., 2001
Math. Program., 2001
2000
Superlinear Convergence of an InteriorPoint Method Despite Dependent Constraints.
Math. Oper. Res., 2000
1999
SIAM Rev., 1999
Modified Cholesky Factorizations in InteriorPoint Algorithms for Linear Programming.
SIAM J. Optim., 1999
Math. Program., 1999
Recent Developments in InteriorPoint Methods.
Proceedings of the System Modelling and Optimization: Methods, 1999
Springer, ISBN: 9780387227429, 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: 9781611971453, 1997
1996
SIAM J. Optim., 1996
A superquadratic infeasibleinteriorpoint method for linear complementarity problems.
Math. Program., 1996
A Superlinear InfeasibleInteriorPoint Algorithm for Monotone Complementarity Problems.
Math. Oper. Res., 1996
Ann. Oper. Res., 1996
1995
SIAM J. Matrix Anal. Appl., 1995
Math. Program., 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
SIAM J. Sci. Comput., 1991
SIAM J. Optim., 1991
Math. Program., 1991
1990
Adaptation of a TwoPoint Boundary Value Problem Solver to a VectorMultiprocessor Environment.
SIAM J. Sci. Comput., 1990
Parallel Comput., 1990
1989
Math. Program., 1989
1987
Math. Program., 1987