activity
20202026
most citedExact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic Block Model

2 citations · 3 across the 9 of their papers we have counts for

collaborators
Showing math.STShow all

2 papers · 1 filter

math.ST2025

Robust estimation of a Markov chain transition matrix from multiple sample paths

Lasse Leskelä, Maximilien Dreveton

Markov chains are fundamental models for stochastic dynamics, with applications in a wide range of areas such as population dynamics, queueing systems, reinforcement learning, and…

math.ST2024

Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models

Maximilien Dreveton, Alperen Gözeten, Matthias Grossglauser +1

Clustering is a pivotal challenge in unsupervised machine learning and is often investigated through the lens of mixture models. The optimal error rate for recovering cluster label…