activity
20092026
most citedProximal methods for stationary Mean Field Games with local couplings

88 citations · 143 across the 35 of their papers we have counts for

collaborators

37 papers

math.OC2026

Multi-Principal Competition for an Exclusive Agent: characterization and approximation of Nash Equilibria

Luis Briceño-Arias, Nicolás Hernández-Santibáñez, Vicente Moreno-Garrido

This paper introduces and studies a Principal-Agent competition model in which two risk-neutral Principals compete to hire a single Agent. The Agent chooses to work exclusively for…

math.NA2026

A Proximal Primal-Dual Approach to Generalized JKO Schemes for Doubly Nonlinear Parabolic Equations

Luis M. Briceño-Arias, José A. Carrillo, Dante Kalise +2

Variational methods based on optimization strategies are proposed to numerically solve a large family of nonlinear partial differential equations. They are all particular instances…

math.OC2026

Optimal Leveraging of Smoothness and Strong Convexity for Peaceman--Rachford Splitting

Luis Briceño-Arias, Fernando Roldán

In this paper, we introduce a simple methodology to leverage strong convexity and smoothness in order to obtain an optimal linear convergence rate for the Peaceman--Rachford splitt…

math.OC2025

A flexible block-coordinate forward-backward algorithm for non-smooth and non-convex optimization

Luis Briceño-Arias, Paulo Gonçalves, Guillaume Lauga +2

Block coordinate descent (BCD) methods are prevalent in large scale optimization problems due to the low memory and computational costs per iteration, the predisposition to paralle…

math.OC2025

Restarted contractive operators to learn at equilibrium

Leo Davy, Luis M. Briceno-Arias, N. Pustelnik

Bilevel optimization offers a methodology to learn hyperparameters in imaging inverse problems, yet its integration with automatic differentiation techniques remains challenging. O…

math.OC2025

Lyapunov analysis for FISTA under strong convexity

Luis M. Briceño-Arias

In this paper, we conduct a theoretical and numerical study of the Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) under strong convexity assumptions. We propose an autonom…