

From robust tests to robust Bayes-like posterior distribution
De Yannick Baraud


Statistical learning in biological neural networks
De Johannes Schmidt-Hieber
De Manon Michel
Apparaît dans la collection : Advances in computational statistical physics / Perspectives en physique statistique computationnelle
During this talk, I will present how the development of non-reversible algorithms by piecewise deterministic Markov processes (PDMP) was first motivated by the impressive successes of cluster algorithms for the simulation of lattice spin systems. I will especially stress how the spin involution symmetry crucial to the cluster schemes was replaced by the exploitation of more general symmetry, in particular thanks to the factorization of the energy function.