James V. Burke

	2011
17		Aleksandr Y. Aravkin, James V. Burke, Alessandro Chiuso, Gianluigi Pillonetto: Convex vs nonconvex approaches for sparse estimation: Lasso, Multiple Kernel Learning and Hyperparameter Lasso. CDC-ECE 2011: 156-161
16		Aleksandr Y. Aravkin, Bradley M. Bell, James V. Burke, Gianluigi Pillonetto: An 1 -Laplace Robust Kalman Smoother. IEEE Trans. Automat. Contr. 56(12): 2898-2911 (2011)
	2009
15		Bradley M. Bell, James V. Burke, Gianluigi Pillonetto: An inequality constrained nonlinear Kalman-Bucy smoother by interior point likelihood maximization. Automatica 45(1): 25-33 (2009)
14		James V. Burke, Sien Deng: Weak sharp minima revisited, Part III: error bounds for differentiable convex inclusions. Math. Program. 116(1-2): 37-56 (2009)
	2007
13		James V. Burke, Adrian S. Lewis, Michael L. Overton: Convexity and Lipschitz Behavior of Small Pseudospectra. SIAM J. Matrix Analysis Applications 29(2): 586-595 (2007)
	2005
12		James V. Burke, Sien Deng: Weak sharp minima revisited, part II: application to linear regularity and error bounds. Math. Program. 104(2-3): 235-261 (2005)
11		James V. Burke, Adrian S. Lewis, Michael L. Overton: Variational analysis of functions of the roots of polynomials. Math. Program. 104(2-3): 263-292 (2005)
10		James V. Burke, Adrian S. Lewis, Michael L. Overton: A Robust Gradient Sampling Algorithm for Nonsmooth, Nonconvex Optimization. SIAM Journal on Optimization 15(3): 751-779 (2005)
	2004
9		James V. Burke, Adrian S. Lewis, Michael L. Overton: Pseudospectral Components and the Distance to Uncontrollability. SIAM J. Matrix Analysis Applications 26(2): 350-361 (2004)
	2003
8		James V. Burke, D. Russell Luke: Variational Analysis Applied to the Problem of Optical Phase Retrieval. SIAM J. Control and Optimization 42(2): 576-595 (2003)
7		James V. Burke, Adrian S. Lewis, Michael L. Overton: Optimization and Pseudospectra, with Applications to Robust Stability. SIAM J. Matrix Analysis Applications 25(1): 80-104 (2003)
	2002
6		James V. Burke, Adrian S. Lewis, Michael L. Overton: Approximating Subdifferentials by Random Sampling of Gradients. Math. Oper. Res. 27(3): 567-584 (2002)
	2001
5		James V. Burke: Optimal Stability and Eigenvalue Multiplicity. Foundations of Computational Mathematics 1(2): 205-225 (2001)
4		James V. Burke, Michael L. Overton: Variational Analysis of the Abscissa Mapping for Polynomials. SIAM J. Control and Optimization 39(6): 1651-1676 (2001)
	1995
3		James V. Burke, Michael C. Ferris: A Gauss-Newton method for convex composite optimization. Math. Program. 71: 179-194 (1995)
	1992
2		James V. Burke, R. A. Poliquin: Optimality conditions for non-finite valued convex composite functions. Math. Program. 57: 103-120 (1992)
	1990
1		James V. Burke, Jorge J. Moré, Gerardo Toraldo: Convergence Properties of Trust Region Methods for Linear and Convex Constraints. Math. Program. 47: 305-336 (1990)

Coauthor Index

1	Aleksandr Y. Aravkin	[16] [17]
2	Bradley M. Bell	[15] [16]
3	Alessandro Chiuso	[17]
4	Sien Deng	[12] [14]
5	Michael C. Ferris	[3]
6	Adrian S. Lewis	[6] [7] [9] [10] [11] [13]
7	D. Russell Luke	[8]
8	Jorge J. Moré	[1]
9	Michael L. Overton	[4] [6] [7] [9] [10] [11] [13]
10	Gianluigi Pillonetto	[15] [16] [17]
11	R. A. Poliquin	[2]
12	Gerardo Toraldo	[1]

Colors in the list of coauthors

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