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Found 4 papers, 0 papers with code
A Stochastic Bregman Primal-Dual Splitting Algorithm for Composite Optimization
Under slightly stricter assumptions, we show almost sure weak convergence of the pointwise iterates to a saddle point.
Nonsmooth Implicit Differentiation for Machine Learning and Optimization
In view of training increasingly complex learning architectures, we establish a nonsmooth implicit function theorem with an operational calculus.
Nonsmooth Implicit Differentiation for Machine-Learning and Optimization
In view of training increasingly complex learning architectures, we establish a nonsmooth implicit function theorem with an operational calculus.
Inexact and Stochastic Generalized Conditional Gradient with Augmented Lagrangian and Proximal Step
In this paper we propose and analyze inexact and stochastic versions of the CGALP algorithm developed in the authors' previous paper, which we denote ICGALP, that allows for errors in the computation of several important quantities.
