56:50
publiée le 10 avril 2025
Deep Out-of-the-distribution Uncertainty Quantification in for Data (Science) Scientists
De Nicolas Vayatis
Algorithms in high-dimensional non-convex landscapes
Apparaît dans la collection : AofA: Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms / AofA: méthodes probabilistes, combinatoires et asymptotiques pour l analyse d algorithmes
Analysis of algorithms in noisy high-dimensional probabilistic problems poses many current challenges. In a subclass of these problems the corresponding challenges can be overcome with the help of a method coming from statistical mechanics. I will review some of the related recent work together with progress on rigorous justification of the corresponding results.
