activity
20212026
collaborators

8 papers

cs.LG2026

PACE: Prune-And-Compress Ensemble Models

Fabian Akkerman, Julien Ferry, Théo Guyard +1

Ensemble models achieve state-of-the-art performance on prediction tasks, but usually require aggregating a large number of weak learners. This can hinder deployment, interpretabil…

math.OC2026

Linear Decision Tree Policies for Integer Linear Programs

Théo Guyard, Cleber Oliveira, Maximilian Schiffer +2

We study optimal decision policies, represented as linear decision trees, for integer linear programs with a fixed feasible set and varying cost vectors. Once synthesized for a giv…

cs.MS2025

El0ps: An Exact L0-regularized Problems Solver

Théo Guyard, Cédric Herzet, Clément Elvira

This paper presents El0ps, a Python toolbox providing several utilities to handle L0-regularized problems related to applications in machine learning, statistics, and signal proces…

math.OC2025

A Generic Branch-and-Bound Algorithm for -Penalized Problems with Supplementary Material

Clément Elvira, Théo Guyard, Cédric Herzet

We present a generic Branch-and-Bound procedure designed to solve L0-penalized optimization problems. Existing approaches primarily focus on quadratic losses and construct relaxati…

math.OC2024

A New Branch-and-Bound Pruning Framework for -Regularized Problems

Theo Guyard, Cédric Herzet, Clément Elvira +1

We consider the resolution of learning problems involving -regularization via Branch-and-Bound (BnB) algorithms. These methods explore regions of the feasible space of the…

cs.LG2023

Safe Peeling for L0-Regularized Least-Squares with supplementary material

Théo Guyard, Gilles Monnoyer, Clément Elvira +1

We introduce a new methodology dubbed ``safe peeling'' to accelerate the resolution of L0-regularized least-squares problems via a Branch-and-Bound (BnB) algorithm. Our procedure e…

eess.SP2021

Node-screening tests for L0-penalized least-squares problem with supplementary material

Théo Guyard, Cédric Herzet, Clément Elvira

We present a novel screening methodology to safely discard irrelevant nodes within a generic branch-and-bound (BnB) algorithm solving the l0-penalized least-squares problem. Our co…

math.OC2021

Screen & Relax: Accelerating the resolution of Elastic-net by safe identification of the solution support

Théo Guyard, Cédric Herzet, Clément Elvira

In this paper, we propose a procedure to accelerate the resolution of the well-known "Elastic-Net" problem. Our procedure is based on the (partial) identification of the solution s…