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L. Pfeiffer

6 papers hereh-index 28 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • math.OC4
  • math.AP1
  • math.PR1
same name
  • L. Pfeiffer — 383 papers, h 79
  • L. Pfeiffer — 100 papers, h 37
  • L. Pfeiffer — 46 papers, h 25
  • L. Pfeiffer — 25 papers, h 7
  • L. Pfeiffer — 20 papers, h 12
  • L. Pfeiffer — 14 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing math.OCShow all

4 papers · 1 filter

math.OC2026

Two-stage stochastic algorithm for solving large-scale (non)-convex separable optimization problems under affine constraints

Benjamin Dubois-Taine, Laurent Pfeiffer, Nadia Oudjane +2

We consider nonsmooth optimization problems under affine constraints, where the objective consists of the average of the component functions of a large number N of agents, and we…

math.OC2026

A variational mean field game of controls with free final time and pairwise interactions

Guilherme Mazanti, Laurent Pfeiffer, Saeed Sadeghi Arjmand

This article considers a mean field game model inspired by crowd motion models in which agents aim at reaching a given target set and wish to minimize a cost consisting of an indiv…

math.OC2025

A Characterization of Law-Invariant and Coherent Risk Measures through Optimal Transport

Riccardo Bonalli, Benoît Bonnet-Weill, Laurent Pfeiffer

In this article, we propose a novel characterization of law-invariant and coherent risk measures, based on a generalized optimal transport problem in which the second marginal of t…

math.OC2024

A nonsmooth Frank-Wolfe algorithm through a dual cutting-plane approach

Guilherme Mazanti, Thibault Moquet, Laurent Pfeiffer

An extension of the Frank-Wolfe Algorithm (FWA), also known as Conditional Gradient algorithm, is proposed. In its standard form, the FWA allows to solve constrained optimization p…

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