collaborators

7 papers

math.PR2026

The value of random zero-sum games

Romain Cosson, Laurent Massoulié

We study the value of a two-player zero-sum game on a random matrix , defined by . In the setting where $n…

quant-ph2025

Performance of Gaussian Boson Sampling on Planted Bipartite Clique Detection

Yu-Zhen Janice Chen, Laurent Massoulié, Don Towsley

We investigate whether Gaussian Boson Sampling (GBS) can provide a computational advantage for solving the planted biclique problem, which is a graph problem widely believed to be…

math.PR2025

Computational thresholds in high-dimensional statistics: the case of graph alignment

Laurent Massoulié

In this article we consider the graph alignment problem from the perspective of high-dimensional statistics: we aim to estimate an unknown permutation from the observation of…

cs.DS2025

Asynchronous Collective Tree Exploration: a Distributed Algorithm, and a new Lower Bound

Romain Cosson, Laurent Massoulié

We study the problem of collective tree exploration in which a team of mobile agents must collectively visit all nodes of an unknown tree in as few moves as possible. The agent…

stat.ML2025

Adaptive collaboration for online personalized distributed learning with heterogeneous clients

Constantin Philippenko, Batiste Le Bars, Kevin Scaman +1

We study the problem of online personalized decentralized learning with statistically heterogeneous clients collaborating to accelerate local training. An important challenge i…

stat.ML2025

Graph Alignment via Birkhoff Relaxation

Sushil Mahavir Varma, Irène Waldspurger, Laurent Massoulié

We consider the graph alignment problem, wherein the objective is to find a vertex correspondence between two graphs that maximizes the edge overlap. The graph alignment problem is…