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

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

(2020) James V. Burke et al.   MATHEMATICS OF OPERATIONS RESEARCH

Stochastic Model-Based Minimization of Weakly Convex Functions

(2019) Damek Davis et al.   SIAM JOURNAL ON OPTIMIZATION

Strong metric subregularity of mappings in variational analysis and optimization

(2018) R. Cibulka et al.   JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS

Error Bounds, Quadratic Growth, and Linear Convergence of Proximal Methods

(2018) Dmitriy Drusvyatskiy et al.   MATHEMATICS OF OPERATIONS RESEARCH

Convex Geometry of the Generalized Matrix-Fractional Function

(2018) James V. Burke et al.   SIAM JOURNAL ON OPTIMIZATION

Variational Gram Functions: Convex Analysis and Optimization

(2017) Amin Jalali et al.   SIAM JOURNAL ON OPTIMIZATION

Matrix Support Functionals for Inverse Problems, Regularization, and Learning

(2015) James V. Burke et al.   SIAM JOURNAL ON OPTIMIZATION

Epi-convergent Smoothing with Applications to Convex Composite Functions

(2013) James V. Burke et al.   SIAM JOURNAL ON OPTIMIZATION

Convexity of the inverse and Moore–Penrose inverse

(2010) Kenneth Nordström   LINEAR ALGEBRA AND ITS APPLICATIONS

The conjugate of the pointwise maximum of two convex functions revisited

(2008) Radu Ioan Boţ et al.   JOURNAL OF GLOBAL OPTIMIZATION

A new constraint qualification for the formula of the subdifferential of composed convex functions in infinite dimensional spaces

(2008) Radu Ioan Boţ et al.   MATHEMATISCHE NACHRICHTEN