James V. Burke

发表

Variational Properties of Value Functions

Michael P. Friedlander, Aleksandr Y. Aravkin, James V. Burke, 2012, SIAM J. Optim..

Smoothing dynamic systems with state-dependent covariance matrices

Aleksandr Y. Aravkin, James V. Burke, J. Burke, 2012, 53rd IEEE Conference on Decision and Control.

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

Alessandro Chiuso, Aleksandr Y. Aravkin, James V. Burke, 2014, J. Mach. Learn. Res..

Pseudospectral Components and the Distance to Uncontrollability

Adrian S. Lewis, Michael L. Overton, James V. Burke, 2005, SIAM J. Matrix Anal. Appl..

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

James V. Burke, Song Xu, J. Burke, 1998, Math. Oper. Res..

Variational Analysis Applied to the Problem of Optical Phase Retrieval

James V. Burke, D. Russell Luke, J. Burke, 2003, SIAM J. Control. Optim..

Variational Analysis of the Abscissa Mapping for Polynomials

Michael L. Overton, James V. Burke, M. Overton, 2000, SIAM J. Control. Optim..

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

Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Robust Singular Smoothers for Tracking Using Low-Fidelity Data

Sarah E. Webster, James V. Burke, Gianluigi Pillonetto, 2019, Robotics: Science and Systems.

Variational analysis of convexly generated spectral max functions

James V. Burke, Julia Eaton, 2018, Math. Program..

Foundations of Gauge and Perspective Duality

Dmitriy Drusvyatskiy, Michael P. Friedlander, Aleksandr Y. Aravkin, 2017, SIAM J. Optim..

Descent methods for composite nondifferentiable optimization problems

James V. Burke, J. Burke, 1985, Math. Program..

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

Hao Wang, Jiashan Wang, James V. Burke, 2015, SIAM J. Optim..

Fast robust methods for singular state-space models

Sarah E. Webster, Aleksandr Y. Aravkin, James V. Burke, 2018, Autom..

Convexity and Lipschitz Behavior of Small Pseudospectra

Adrian S. Lewis, Michael L. Overton, James V. Burke, 2007, SIAM J. Matrix Anal. Appl..

Line Search and Trust-Region Methods for Convex-Composite Optimization

James V. Burke, Abraham Engle, J. Burke, 2018 .

The subdifferential of measurable composite max integrands and smoothing approximation

Xiaojun Chen, James V. Burke, Hailin Sun, 2020, Math. Program..

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

James V. Burke, Maijian Qian, J. Burke, 2000, Math. Program..

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

James V. Burke, Yuan Gao, Tim Hoheisel, 2018, SIAM J. Optim..

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

Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Generalized Kalman smoothing: Modeling and algorithms

Lennart Ljung, Aleksandr Y. Aravkin, James V. Burke, 2016, Autom..

A nonsmooth, nonconvex approach to robust stabilization by static output feedback and low-order controllers

Michael L. Overton, James V. Burke, Adrian S. Lewis, 2004 .

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

Sien Deng, James V. Burke, J. Burke, 2005, Math. Program..

Digital Object Identifier (DOI) 10.1007/s101070100225

Michael L. Overton, James V. Burke, M. Overton, 2022 .

Spectral conditioning and pseudospectral growth

Adrian S. Lewis, Michael L. Overton, James V. Burke, 2007, Numerische Mathematik.

RobustandTrend-following Student'st-KalmanSmoothers ?

Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, 2011 .

The Nonparametric Adaptive Grid Algorithm for Population Pharmacokinetic Modeling

Roger W. Jelliffe, Alona Kryshchenko, David S. Bayard, 2013 .

Exposing Constraints

James V. Burke, Jorge J. Moré, J. J. Moré, 1994, SIAM J. Optim..

A Robust Gradient Sampling Algorithm for Nonsmooth, Nonconvex Optimization

Adrian S. Lewis, Michael L. Overton, James V. Burke, 2005, SIAM J. Optim..

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

Sien Deng, James V. Burke, J. Burke, 2008, Math. Program..

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

James V. Burke, Song Xu, 1999, Math. Program..

Generalized System Identification with Stable Spline Kernels

Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, 2013, SIAM J. Sci. Comput..

A Robust Trust Region Method for Constrained Nonlinear Programming Problems

James V. Burke, J. Burke, 1992, SIAM J. Optim..

Robust and Trend-Following Student's t Kalman Smoothers

Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, 2013, SIAM J. Control. Optim..

A statistical and computational theory for robust and sparse Kalman smoothing

Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, 2011, 1111.2730.

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

Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, 2013, J. Mach. Learn. Res..

Matrix Support Functionals for Inverse Problems, Regularization, and Learning

James V. Burke, Tim Hoheisel, J. Burke, 2015, SIAM J. Optim..

Convergence properties of trust region methods for linear and convex constraints

Gerardo Toraldo, James V. Burke, Jorge J. Moré, 1990, Math. Program..

HIFOO - A MATLAB package for fixed-order controller design and H ∞ optimization

Adrian S. Lewis, Michael L. Overton, James V. Burke, 2006 .

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

Adrian S. Lewis, Michael L. Overton, James V. Burke, 2004, J. Glob. Optim..

Characterization of solution sets of convex programs

James V. Burke, Michael C. Ferris, M. Ferris, 1991, Oper. Res. Lett..

Variational analysis of functions of the roots of polynomials

Adrian S. Lewis, Michael L. Overton, James V. Burke, 2005, Math. Program..

Optical Wavefront Reconstruction: Theory and Numerical Methods

James V. Burke, Richard G. Lyon, D. Russell Luke, 2002, SIAM Rev..

Approximating Subdifferentials by Random Sampling of Gradients

Adrian S. Lewis, Michael L. Overton, James V. Burke, 2002, Math. Oper. Res..

Second order necessary and sufficient conditions for convex composite NDO

James V. Burke, J. Burke, 1987, Math. Program..

A robust sequential quadratic programming method

James V. Burke, Shih-Ping Han, Shih-Ping Han, 1989, Math. Program..

Level-set methods for convex optimization

Dmitriy Drusvyatskiy, Michael P. Friedlander, Scott Roy, 2016, Math. Program..

A Gauss—Newton method for convex composite optimization

Michael C. Ferris, James V. Burke, M. Ferris, 1995, Math. Program..

Optimization and Pseudospectra, with Applications to Robust Stability

Adrian S. Lewis, Michael L. Overton, James V. Burke, 2003, SIAM J. Matrix Anal. Appl..

Epi-convergent Smoothing with Applications to Convex Composite Functions

James V. Burke, Tim Hoheisel, J. Burke, 2012, SIAM J. Optim..

A Sequential Quadratic Optimization Algorithm with Rapid Infeasibility Detection

Hao Wang, James V. Burke, Frank E. Curtis, 2014, SIAM J. Optim..

A Unified Analysis of Hoffman's Bound via Fenchel Duality

James V. Burke, Paul Tseng, P. Tseng, 1996, SIAM J. Optim..

Robust and Trend-following Kalman Smoothers using Student's t

James V. Burke, Gianluigi Pillonetto, Aleksandr Y. Aravkin, 2010, 1001.3907.

Optimal Stability and Eigenvalue Multiplicity

Adrian S. Lewis, Michael L. Overton, James V. Burke, 2001, Found. Comput. Math..

Strong Metric (Sub)regularity of Karush-Kuhn-Tucker Mappings for Piecewise Linear-Quadratic Convex-Composite Optimization and the Quadratic Convergence of Newton's Method

James V. Burke, Abraham Engle, J. Burke, 2020, Math. Oper. Res..

Linear system identification using stable spline kernels and PLQ penalties

Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, 2013, 52nd IEEE Conference on Decision and Control.

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

Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, 2013, ArXiv.

Convex Geometry of the Generalized Matrix-Fractional Function

Yuan Gao, James V. Burke, Tim Hoheisel, 2018, SIAM J. Optim..

Inexact Sequential Quadratic Optimization with Penalty Parameter Updates within the QP Solver

Jiashan Wang, Hao Wang, James V. Burke, 2020, SIAM J. Optim..

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

James V. Burke, Gianluigi Pillonetto, Bradley M. Bell, 2009, Autom..

Gradient Sampling Methods for Nonsmooth Optimization

Michael L. Overton, James V. Burke, Frank E. Curtis, 2018, Numerical Nonsmooth Optimization.

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

Alessandro Chiuso, Aleksandr Y. Aravkin, James V. Burke, 2013, 1302.6434.

Stabilization via Nonsmooth, Nonconvex Optimization

Adrian S. Lewis, Michael L. Overton, James V. Burke, 2006, IEEE Transactions on Automatic Control.

Algorithmic Differentiation of Implicit Functions and Optimal Values

James V. Burke, Bradley M. Bell, J. Burke, 2008 .

A Study of Convex Convex-Composite Functions via Infimal Convolution with Applications

James V. Burke, Tim Hoheisel, Quang V. Nguyen, 2019, Math. Oper. Res..

Algorithms for Block Tridiagonal Systems: Stability Results for Generalized Kalman Smoothing

Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, 2021, IFAC-PapersOnLine.

Convergence of the Gradient Sampling Algorithm on Directionally Lipschitz Functions

James V. Burke, Qiuying Lin, 2021, Set-Valued and Variational Analysis.

Analysis of a Belgian Chocolate Stabilization Problem

Adrian S. Lewis, Michael L. Overton, James V. Burke, 2005 .

The speed of Shor's R-algorithm

Adrian S. Lewis, Michael L. Overton, James V. Burke, 2008 .

A Nonlinear Sparsity Promoting Formulation and Algorithm for Full Waveform Inversion

Felix J. Herrmann, Aleksandr Y. Aravkin, James V. Burke, 2011 .

Kalman smoothing and block tridiagonal systems: new connections and numerical stability results

Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, 2013, 1303.5237.

Differentiability of cone-monotone functions on separable Banach space

Jonathan M. Borwein, Adrian S. Lewis, James V. Burke, 2003 .

Local structure and algorithms in nonsmooth optimization

Adrian S. Lewis, Michael L. Overton, James V. Burke, 2005 .

Some Equivalent Characterizations of the Polynomial Numerical Hull of Degree $k$

Anne Greenbaum, James V. Burke, J. Burke, 2004 .

New Stability Results and Algorithms for Block Tridiagonal Systems, with Applications to Kalman Smoothing

Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, 2013 .

Calmness and exact penalization

James V. Burke, J. Burke, 1991 .

On the Estimation of Hyperparameters for Empirical Bayes Estimators: Maximum Marginal Likelihood vs Minimum MSE

Alessandro Chiuso, Aleksandr Y. Aravkin, James V. Burke, 2012 .

Inexact Sequential Quadratic Optimization with Penalty Parameter Updates Within the QP Solve: Extended Version

Jiashan Wang, Hao Wang, James V. Burke, 2018 .

Strong Metric (Sub)regularity of KKT Mappings for Piecewise Linear-Quadratic Convex-Composite Optimization

James V. Burke, Abraham Engle, J. Burke, 2018, 1805.01073.