Stephen J. Wright
According to our database^{1},
Stephen J. Wright
authored at least 133 papers
between 1987 and 2020.
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Bibliography
2020
A NewtonCG algorithm with complexity guarantees for smooth unconstrained optimization.
Math. Program., 2020
Randomness and permutations in coordinate descent methods.
Math. Program., 2020
Analyzing random permutations for cyclic coordinate descent.
Math. Comput., 2020
Inexact Variable Metric Stochastic BlockCoordinate Descent for Regularized Optimization.
J. Optim. Theory Appl., 2020
Adversarial Classification via Distributional Robustness with Wasserstein Ambiguity.
CoRR, 2020
2019
Predicting kinase inhibitors using bioactivity matrix derived informer sets.
PLoS Computational Biology, 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
Interleaved Composite Quantization for HighDimensional Similarity Search.
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
Inexact Successive quadratic approximation for regularized optimization.
Comp. Opt. and Appl., 2019
FirstOrder Algorithms Converge Faster than $O(1/k)$ on Convex Problems.
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
PMU Placement for Line Outage Identification via Multinomial Logistic Regression.
IEEE Trans. Smart Grid, 2018
Complexity Analysis of SecondOrder LineSearch Algorithms for Smooth Nonconvex Optimization.
SIAM J. Optim., 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
Training Set Debugging Using Trusted Items.
Proceedings of the ThirtySecond AAAI Conference on Artificial Intelligence, 2018
2017
Using Neural Networks to Detect Line Outages from PMU Data.
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
2016
Analyzing Vulnerability of Power Systems with Continuous Optimization Formulations.
IEEE Trans. Netw. Sci. Eng., 2016
Big Data: Theoretical Aspects [Scanning the Issue].
Proceedings of the IEEE, 2016
A proximal method for composite minimization.
Math. Program., 2016
An accelerated randomized Kaczmarz algorithm.
Math. Comput., 2016
Online algorithms for factorizationbased structure from motion.
Comput. Vis. Image Underst., 2016
Efficient Bregman Projections onto the Permutahedron and Related Polytopes.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
A Fast and Reliable Policy Improvement Algorithm.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
ForwardBackward Greedy Algorithms for Atomic Norm Regularization.
IEEE Trans. Signal Process., 2015
Asynchronous Stochastic Coordinate Descent: Parallelism and Convergence Properties.
SIAM J. Optim., 2015
Coordinate descent algorithms.
Math. Program., 2015
An asynchronous parallel stochastic coordinate descent algorithm.
J. Mach. Learn. Res., 2015
Local Convergence of an Algorithm for Subspace Identification from Partial Data.
Found. Comput. Math., 2015
2014
Research Spotlights.
SIAM Review, 2014
An Asynchronous Parallel Randomized Kaczmarz Algorithm.
CoRR, 2014
Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Forward  Backward greedy algorithms for signal demixing.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
2013
Optimization Algorithms and Applications for Speech and Language Processing.
IEEE Trans. Speech Audio Process., 2013
Packing Ellipsoids with Overlap.
SIAM Review, 2013
An Approximate, Efficient Solver for LP Rounding.
CoRR, 2013
An Approximate, Efficient LP Solver for LP Rounding.
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
Optimization in learning and data analysis.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
A greedy forwardbackward algorithm for atomic norm constrained minimization.
Proceedings of the IEEE International Conference on Acoustics, 2013
On GROUSE and incremental SVD.
Proceedings of the 5th IEEE International Workshop on Computational Advances in MultiSensor Adaptive Processing, 2013
2012
Accelerated Blockcoordinate Relaxation for Regularized Optimization.
SIAM J. Optim., 2012
Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning.
J. Mach. Learn. Res., 2012
Optimizing financial effects of HIE: a multiparty linear programming approach.
J. Am. Medical Informatics Assoc., 2012
Robust Dequantized Compressive Sensing
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
Identifying Activity.
SIAM J. Optim., 2011
Conditions under which suboptimal nonlinear MPC is inherently robust.
Syst. Control. Lett., 2011
Approximate Stochastic Subgradient Estimation Training for Support Vector Machines
CoRR, 2011
Hogwild: A LockFree Approach to Parallelizing Stochastic Gradient Descent.
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
Convex approaches to model wavelet sparsity patterns.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Inherently robust suboptimal nonlinear MPC: Theory and application.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2010
Cooperative distributed model predictive control.
Syst. Control. Lett., 2010
Computational Methods for Sparse Solution of Linear Inverse Problems.
Proceedings of the IEEE, 2010
Dualitybased algorithms for totalvariationregularized image restoration.
Comp. Opt. and 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
2009
Sparse reconstruction by separable approximation.
IEEE Trans. Signal Process., 2009
An accelerated Newton method for equations with semismooth Jacobians and nonlinear complementarity problems.
Math. Program., 2009
Estimating TreeStructured Covariance Matrices via MixedInteger Programming.
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
Optimal design of thermally stable proteins.
Bioinform., 2008
Power Awareness in Network Design and Routing.
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.
Optimization Methods and Software, 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
Dissimilarity in GraphBased SemiSupervised Classification.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007
An Optimization Framework for Conformal Radiation Treatment Planning.
INFORMS J. Comput., 2007
Fast, largescale model predictive control by partial enumeration.
Autom., 2007
Creating operations research models to guide RHIO decision making.
Proceedings of the AMIA 2007, 2007
Linear programming with MATLAB.
MPSSIAM series on optimization 7, SIAM, ISBN: 9780898716436, 2007
2006
Active Set Identification in Nonlinear Programming.
SIAM J. Optim., 2006
Linear programing formulations and algorithms for radiotherapy treatment planning.
Optimization Methods and Software, 2006
The empirical behavior of sampling methods for stochastic programming.
Annals OR, 2006
Approximating StreamingWindow Joins Under CPU Limitations.
Proceedings of the 22nd International Conference on Data Engineering, 2006
Distributed Output Feedback MPC for Power System Control.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006
2005
Simultaneous Variable Selection.
Technometrics, 2005
An Algorithm for Degenerate Nonlinear Programming with Rapid Local Convergence.
SIAM J. Optim., 2005
Modeling Participation in the NHII: Operations Research Approach.
Proceedings of the AMIA 2005, 2005
5. Computational Grids for Stochastic Programming.
Proceedings of the Applications of Stochastic Programming, 2005
2004
Minimizing delivery cost in scalable streaming content distribution systems.
IEEE Trans. Multimedia, 2004
A Feasible TrustRegion Sequential Quadratic Programming Algorithm.
SIAM J. Optim., 2004
Some properties of regularization and penalization schemes for MPECs.
Optimization Methods and Software, 2004
Nonlinear Model Predictive Control via FeasibilityPerturbed Sequential Quadratic Programming.
Comp. Opt. and Appl., 2004
Mass Spectrum Labeling: Theory and Practice.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004
2003
Objectoriented software for quadratic programming.
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
Decomposition Algorithms for Stochastic Programming on a Computational Grid.
Comp. Opt. and Appl., 2003
An Approach to Optimizing Adaptive Parabolic PDE Solvers for the Grid.
Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS 2003), 2003
2002
WarmStart Strategies in InteriorPoint Methods for Linear Programming.
SIAM J. Optim., 2002
Modifying SQP for Degenerate Problems.
SIAM J. Optim., 2002
Properties of the LogBarrier Function on Degenerate Nonlinear Programs.
Math. Oper. Res., 2002
Local Convergence of a PrimalDual Method for Degenerate Nonlinear Programming.
Comp. Opt. and Appl., 2002
ModelBased Control of Adaptive Applications: An Overview.
Proceedings of the 16th International Parallel and Distributed Processing Symposium (IPDPS 2002), 2002
Nearoptimal adaptive control of a large grid application.
Proceedings of the 16th international conference on Supercomputing, 2002
Numerical Behavior of a Stabilized SQP Method for Degenerate NLP Problems.
Proceedings of the Global Optimization and Constraint Satisfaction, 2002
2001
Effects of FinitePrecision Arithmetic on InteriorPoint Methods for Nonlinear Programming.
SIAM J. Optim., 2001
On reduced convex QP formulations of monotone LCPs.
Math. Program., 2001
On the convergence of the Newton/logbarrier method.
Math. Program., 2001
2000
Superlinear Convergence of an InteriorPoint Method Despite Dependent Constraints.
Math. Oper. Res., 2000
1999
Optimization Case Studies in the NEOS Guide.
SIAM Review, 1999
Modified Cholesky Factorizations in InteriorPoint Algorithms for Linear Programming.
SIAM J. Optim., 1999
The role of linear objective functions in barrier methods.
Math. Program., 1999
Recent Developments in InteriorPoint Methods.
Proceedings of the System Modelling and Optimization: Methods, 1999
Numerical Optimization
Springer, ISBN: 9780387227429, 1999
1998
Superlinear Convergence of a Stabilized SQP Method to a Degenerate Solution.
Comp. Opt. and Appl., 1998
1997
pPCx: Parallel Software for Linear Programming.
Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, 1997
PrimalDual InteriorPoint Methods.
Other Titles in Applied Mathematics, SIAM, ISBN: 9781611971453, 1997
1996
A Superlinear InfeasibleInteriorPoint Affine Scaling Algorithm for LCP.
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
A pathfollowing interiorpoint algorithm for linear and quadratic problems.
Annals OR, 1996
1995
Stability of Linear Equations Solvers in InteriorPoint Methods.
SIAM J. Matrix Anal. Appl., 1995
Superlinear primaldual affine scaling algorithms for LCP.
Math. Program., 1995
1994
An infeasibleinteriorpoint algorithm for linear complementarity problems.
Math. Program., 1994
Local convergence of interiorpoint algorithms for degenerate monotone LCP.
Comp. Opt. and Appl., 1994
1993
A Collection of Problems for Which Gaussian Elimination with Partial Pivoting is Unstable.
SIAM J. Scientific Computing, 1993
1992
Stable Parallel Algorithms for TwoPoint Boundary Value Problems.
SIAM J. Scientific Computing, 1992
An InteriorPoint Algorithm for Linearly Constrained Optimization.
SIAM J. Optim., 1992
1991
Parallel Algorithms for Banded Linear Systems.
SIAM J. Scientific Computing, 1991
Partitioned Dynamic Programming for Optimal Control.
SIAM J. Optim., 1991
Sequential quadratic programming for certain parameter identification problems.
Math. Program., 1991
1990
Adaptation of a TwoPoint Boundary Value Problem Solver to a VectorMultiprocessor Environment.
SIAM J. Scientific Computing, 1990
Solution of discretetime optimal control problems on parallel computers.
Parallel Comput., 1990
1989
An inexact algorithm for composite nondifferentiable optimization.
Math. Program., 1989
1987
Local properties of inexact methods for minimizing nonsmooth composite functions.
Math. Program., 1987