3 papers
math.ST2026
Adjusted Scores for Discrete Langevin Algorithms
Armand Gissler, Saeed Saremi, Francis Bach
Sampling from discrete distributions is a ubiquitous task in machine learning, recently revisited by the emergence of discrete diffusion models. While Langevin algorithms constitut…
math.OC2025
On the irreducibility and convergence of a class of nonsmooth nonlinear state-space models on manifolds and their applications to zeroth-order optimization
Armand Gissler, Alain Durmus, Anne Auger
In this paper, we analyze a large class of general nonlinear state-space models on a state-space X, defined by the recursion , …
math.OC2024
Irreducibility of nonsmooth state-space models with an application to CMA-ES
Armand Gissler, Shan-Conrad Wolf, Anne Auger +1
We analyze a stochastic process resulting from the normalization of states in the zeroth-order optimization method CMA-ES. On a specific class of minimization problems where the ob…