James V. Burke

Abraham Engle

Math. Oper. Res., 2020

2019

Variational Properties of Matrix Functions via the Generalized Matrix-Fractional Function.

[BibT_eX]

[DOI]

Yuan Gao

SIAM J. Optim., 2019

Level-set methods for convex optimization.

[BibT_eX]

[DOI]

Dmitriy Drusvyatskiy

Michael P. Friedlander

Scott Roy

Math. Program., 2019

Fast robust methods for singular state-space models.

[BibT_eX]

[DOI]

Autom., 2019

Robust Singular Smoothers for Tracking Using Low-Fidelity Data.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XV, 2019

2018

Generalized System Identification with Stable Spline Kernels.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2018

Convex Geometry of the Generalized Matrix-Fractional Function.

[BibT_eX]

[DOI]

Yuan Gao

SIAM J. Optim., 2018

Foundations of Gauge and Perspective Duality.

[BibT_eX]

[DOI]

Dmitriy Drusvyatskiy

Michael P. Friedlander

Kellie J. MacPhee

SIAM J. Optim., 2018

Variational analysis of convexly generated spectral max functions.

[BibT_eX]

[DOI]

Julia Eaton

Math. Program., 2018

2017

Generalized Kalman smoothing: Modeling and algorithms.

[BibT_eX]

[DOI]

Autom., 2017

2015

The Connection Between Bayesian Estimation of a Gaussian Random Field and RKHS.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Matrix Support Functionals for Inverse Problems, Regularization, and Learning.

[BibT_eX]

[DOI]

SIAM J. Optim., 2015

Iterative Reweighted Linear Least Squares for Exact Penalty Subproblems on Product Sets.

[BibT_eX]

[DOI]

SIAM J. Optim., 2015

2014

A Sequential Quadratic Optimization Algorithm with Rapid Infeasibility Detection.

[BibT_eX]

[DOI]

Frank E. Curtis

Hao Wang

SIAM J. Optim., 2014

Robust and Trend-Following Student's t Kalman Smoothers.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2014

Convex vs non-convex estimators for regression and sparse estimation: the mean squared error properties of ARD and GLasso.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Smoothing dynamic systems with state-dependent covariance matrices.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Epi-convergent Smoothing with Applications to Convex Composite Functions.

[BibT_eX]

[DOI]

SIAM J. Optim., 2013

Variational Properties of Value Functions.

[BibT_eX]

[DOI]

Michael P. Friedlander

SIAM J. Optim., 2013

Sparse/robust estimation and Kalman smoothing with nonsmooth log-concave densities: modeling, computation, and theory.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2013

The exact relationship between regularization in RKHS and Bayesian estimation of Gaussian random fields

[BibT_eX]

[DOI]

CoRR, 2013

Linear system identification using stable spline kernels and PLQ penalties.

[BibT_eX]

[DOI]

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012

Nonsmooth regression and state estimation using piecewise quadratic log-concave densities.

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011

An <sub>1</sub> -Laplace Robust Kalman Smoother.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2011

Convex vs nonconvex approaches for sparse estimation: Lasso, Multiple Kernel Learning and Hyperparameter Lasso.

[BibT_eX]

[DOI]

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2009

Weak sharp minima revisited, Part III: error bounds for differentiable convex inclusions.

[BibT_eX]

[DOI]

Sien Deng

Math. Program., 2009

An inequality constrained nonlinear Kalman-Bucy smoother by interior point likelihood maximization.

[BibT_eX]

[DOI]

Bradley M. Bell

Autom., 2009

2007

Convexity and Lipschitz Behavior of Small Pseudospectra.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2007

Spectral conditioning and pseudospectral growth.

[BibT_eX]

[DOI]

Numerische Mathematik, 2007

2006

Stabilization via Nonsmooth, Nonconvex Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2006

2005

A Robust Gradient Sampling Algorithm for Nonsmooth, Nonconvex Optimization.

[BibT_eX]

[DOI]

SIAM J. Optim., 2005

Variational analysis of functions of the roots of polynomials.

[BibT_eX]

[DOI]

Math. Program., 2005

Weak sharp minima revisited, part II: application to linear regularity and error bounds.

[BibT_eX]

[DOI]

Sien Deng

Math. Program., 2005

2004

Pseudospectral Components and the Distance to Uncontrollability.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2004

Variational Analysis of the Abscissa Mapping for Polynomials via the Gauss-Lucas Theorem.

[BibT_eX]

[DOI]

J. Glob. Optim., 2004

2003

Optimization and Pseudospectra, with Applications to Robust Stability.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2003

Variational Analysis Applied to the Problem of Optical Phase Retrieval.

[BibT_eX]

[DOI]

D. Russell Luke

SIAM J. Control. Optim., 2003

2002

Optical Wavefront Reconstruction: Theory and Numerical Methods.

[BibT_eX]

[DOI]

D. Russell Luke

Richard G. Lyon

SIAM Rev., 2002

Approximating Subdifferentials by Random Sampling of Gradients.

[BibT_eX]

[DOI]

Math. Oper. Res., 2002

2001

Variational Analysis of the Abscissa Mapping for Polynomials.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2001

Variational analysis of non-Lipschitz spectral functions.

[BibT_eX]

[DOI]

Math. Program., 2001

Optimal Stability and Eigenvalue Multiplicity.

[BibT_eX]

[DOI]

Found. Comput. Math., 2001

2000

A non-interior predictor-corrector path following algorithm for the monotone linear complementarity problem.

[BibT_eX]

[DOI]

Song Xu

Math. Program., 2000

On the superlinear convergence of the variable metric proximal point algorithm using Broyden and BFGS matrix secant updating.

[BibT_eX]

[DOI]

Maijian Qian

Math. Program., 2000

1999

A polynomial time interior-point path-following algorithm for LCP based on Chen-Harker-Kanzow smoothing techniques.

[BibT_eX]

[DOI]

Song Xu

Math. Program., 1999

1998

The Global Linear Convergence of a Noninterior Path-Following Algorithm for Linear Complementarity Problems.

[BibT_eX]

[DOI]

Song Xu

Math. Oper. Res., 1998

1997

On the Lidskii-Vishik-Lyusternik Perturbation Theory for Eigenvalues of Matrices with Arbitrary Jordan Structure.

[BibT_eX]

[DOI]

Julio Moro

SIAM J. Matrix Anal. Appl., October, 1997

1996

A Unified Analysis of Hoffman's Bound via Fenchel Duality.

[BibT_eX]

[DOI]

Paul Tseng

SIAM J. Optim., 1996

1995

A Gauss-Newton method for convex composite optimization.

[BibT_eX]

[DOI]

Michael C. Ferris

Math. Program., 1995

1994

Exposing Constraints.

[BibT_eX]

[DOI]

Jorge J. Moré

SIAM J. Optim., 1994

1992

A Robust Trust Region Method for Constrained Nonlinear Programming Problems.

[BibT_eX]

[DOI]

SIAM J. Optim., 1992

Optimality conditions for non-finite valued convex composite functions.

[BibT_eX]

[DOI]

R. A. Poliquin

Math. Program., 1992

1991

Characterization of solution sets of convex programs.

[BibT_eX]

[DOI]

Michael C. Ferris

Oper. Res. Lett., 1991

1990

Convergence Properties of Trust Region Methods for Linear and Convex Constraints.

[BibT_eX]

[DOI]

Jorge J. Moré

Gerardo Toraldo

Math. Program., 1990

1989

A robust sequential quadratic programming method.

[BibT_eX]

[DOI]

Shih-Ping Han

Math. Program., 1989

1987

Second order necessary and sufficient conditions for convex composite NDO.

[BibT_eX]

[DOI]

Math. Program., 1987

1986

A Gauss-Newton Approach to Solving Generalized Inequalities.

[BibT_eX]

[DOI]

S.-P. Han

Math. Oper. Res., 1986

1985

Descent methods for composite nondifferentiable optimization problems.

[BibT_eX]

[DOI]