Stephen J. Wright

According to our database1, Stephen J. Wright authored at least 125 papers between 1987 and 2018.

Collaborative distances:
  • Dijkstra number2 of two.
  • Erdős number3 of three.

Timeline

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Bibliography

2018
PMU Placement for Line Outage Identification via Multinomial Logistic Regression.
IEEE Trans. Smart Grid, 2018

Complexity Analysis of Second-Order Line-Search Algorithms for Smooth Nonconvex Optimization.
SIAM Journal on Optimization, 2018

A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization.
CoRR, 2018

Training Set Debugging Using Trusted Items.
CoRR, 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

Training Set Debugging Using Trusted Items.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Using Neural Networks to Detect Line Outages from PMU Data.
CoRR, 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

2016
Analyzing Vulnerability of Power Systems with Continuous Optimization Formulations.
IEEE Trans. Network Science and Engineering, 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 factorization-based structure from motion.
Computer Vision and Image Understanding, 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
Forward-Backward Greedy Algorithms for Atomic Norm Regularization.
IEEE Trans. Signal Processing, 2015

Asynchronous Stochastic Coordinate Descent: Parallelism and Convergence Properties.
SIAM Journal on Optimization, 2015

Coordinate descent algorithms.
Math. Program., 2015

An asynchronous parallel stochastic coordinate descent algorithm.
Journal of Machine Learning Research, 2015

Local Convergence of an Algorithm for Subspace Identification from Partial Data.
Foundations of Computational Mathematics, 2015

2014
Research Spotlights.
SIAM Review, 2014

Research Spotlights.
SIAM Review, 2014

Forward - Backward Greedy Algorithms for Atomic Norm Regularization.
CoRR, 2014

An Asynchronous Parallel Randomized Kaczmarz Algorithm.
CoRR, 2014

Online algorithms for factorization-based structure from motion.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 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

An Asynchronous Parallel Stochastic Coordinate Descent Algorithm.
Proceedings of the 31th International Conference on Machine Learning, 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. Audio, Speech & Language Processing, 2013

Packing Ellipsoids with Overlap.
SIAM Review, 2013

An Approximate, Efficient Solver for LP Rounding.
CoRR, 2013

Online Algorithms for Factorization-Based Structure from Motion.
CoRR, 2013

On GROUSE and Incremental SVD.
CoRR, 2013

Local Convergence of an Algorithm for Subspace Identification from Partial Data.
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 5-8, 2013

Optimization in learning and data analysis.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

A greedy forward-backward 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 Multi-Sensor Adaptive Processing, 2013

2012
Accelerated Block-coordinate Relaxation for Regularized Optimization.
SIAM Journal on Optimization, 2012

Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning.
Journal of Machine Learning Research, 2012

Optimizing financial effects of HIE: a multi-party linear programming approach.
JAMIA, 2012

Robust Dequantized Compressive Sensing
CoRR, 2012

The partitioned LASSO-patternsearch algorithm with application to gene expression data.
BMC Bioinformatics, 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 Journal on Optimization, 2011

Conditions under which suboptimal nonlinear MPC is inherently robust.
Systems & Control Letters, 2011

Approximate Stochastic Subgradient Estimation Training for Support Vector Machines
CoRR, 2011

HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
CoRR, 2011

Convex Approaches to Model Wavelet Sparsity Patterns
CoRR, 2011

Hogwild: A Lock-Free 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 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

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.
Systems & Control Letters, 2010

Computational Methods for Sparse Solution of Linear Inverse Problems.
Proceedings of the IEEE, 2010

Duality-based algorithms for total-variation-regularized 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 Processing, 2009

An accelerated Newton method for equations with semismooth Jacobians and nonlinear complementarity problems.
Math. Program., 2009

Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming.
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. Contr. Sys. Techn., 2008

Optimal design of thermally stable proteins.
Bioinformatics, 2008

Power Awareness in Network Design and Routing.
Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008

Sparse reconstruction by separable approximation.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Global optimization in protein docking using clustering, underestimation and semidefinite programming.
Optimization Methods and Software, 2007

Elastic-mode algorithms for mathematical programs with equilibrium constraints: global convergence and stationarity properties.
Math. Program., 2007

Dissimilarity in Graph-Based Semi-Supervised Classification.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

An Optimization Framework for Conformal Radiation Treatment Planning.
INFORMS Journal on Computing, 2007

Fast, large-scale model predictive control by partial enumeration.
Automatica, 2007

Creating operations research models to guide RHIO decision making.
Proceedings of the AMIA 2007, 2007

2006
Active Set Identification in Nonlinear Programming.
SIAM Journal on Optimization, 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

2005
Simultaneous Variable Selection.
Technometrics, 2005

An Algorithm for Degenerate Nonlinear Programming with Rapid Local Convergence.
SIAM Journal on Optimization, 2005

Modeling Participation in the NHII: Operations Research Approach.
Proceedings of the AMIA 2005, 2005

2004
Minimizing delivery cost in scalable streaming content distribution systems.
IEEE Trans. Multimedia, 2004

A Feasible Trust-Region Sequential Quadratic Programming Algorithm.
SIAM Journal on Optimization, 2004

Some properties of regularization and penalization schemes for MPECs.
Optimization Methods and Software, 2004

Nonlinear Model Predictive Control via Feasibility-Perturbed 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
Object-oriented software for quadratic programming.
ACM Trans. Math. Softw., 2003

Existence and computation of infinite horizon model predictive control with active steady-state input constraints.
IEEE Trans. Automat. Contr., 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
Warm-Start Strategies in Interior-Point Methods for Linear Programming.
SIAM Journal on Optimization, 2002

Modifying SQP for Degenerate Problems.
SIAM Journal on Optimization, 2002

Properties of the Log-Barrier Function on Degenerate Nonlinear Programs.
Math. Oper. Res., 2002

Local Convergence of a Primal-Dual Method for Degenerate Nonlinear Programming.
Comp. Opt. and Appl., 2002

Model-Based Control of Adaptive Applications: An Overview.
Proceedings of the 16th International Parallel and Distributed Processing Symposium (IPDPS 2002), 2002

Near-optimal 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 Finite-Precision Arithmetic on Interior-Point Methods for Nonlinear Programming.
SIAM Journal on Optimization, 2001

On reduced convex QP formulations of monotone LCPs.
Math. Program., 2001

On the convergence of the Newton/log-barrier method.
Math. Program., 2001

2000
Superlinear Convergence of an Interior-Point Method Despite Dependent Constraints.
Math. Oper. Res., 2000

1999
Optimization Case Studies in the NEOS Guide.
SIAM Review, 1999

Modified Cholesky Factorizations in Interior-Point Algorithms for Linear Programming.
SIAM Journal on Optimization, 1999

The role of linear objective functions in barrier methods.
Math. Program., 1999

Recent Developments in Interior-Point Methods.
Proceedings of the System Modelling and Optimization: Methods, 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

Primal-dual interior-point methods.
SIAM, ISBN: 978-0-89871-382-4, 1997

1996
A Superlinear Infeasible-Interior-Point Affine Scaling Algorithm for LCP.
SIAM Journal on Optimization, 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

A path-following interior-point algorithm for linear and quadratic problems.
Annals OR, 1996

1995
Stability of Linear Equations Solvers in Interior-Point Methods.
SIAM J. Matrix Analysis Applications, 1995

Superlinear primal-dual affine scaling algorithms for LCP.
Math. Program., 1995

1994
An infeasible-interior-point algorithm for linear complementarity problems.
Math. Program., 1994

Local convergence of interior-point 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 Two-Point Boundary Value Problems.
SIAM J. Scientific Computing, 1992

An Interior-Point Algorithm for Linearly Constrained Optimization.
SIAM Journal on Optimization, 1992

1991
Parallel Algorithms for Banded Linear Systems.
SIAM J. Scientific Computing, 1991

Partitioned Dynamic Programming for Optimal Control.
SIAM Journal on Optimization, 1991

Sequential quadratic programming for certain parameter identification problems.
Math. Program., 1991

1990
Adaptation of a Two-Point Boundary Value Problem Solver to a Vector-Multiprocessor Environment.
SIAM J. Scientific Computing, 1990

Solution of discrete-time optimal control problems on parallel computers.
Parallel Computing, 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


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