39 citations · 261 across the 46 of their papers we have counts for
5 papers · 1 filter
Bayesian mixture models (in)consistency for the number of clusters
Louise Alamichel, Daria Bystrova, Julyan Arbel +1
Bayesian nonparametric mixture models are common for modeling complex data. While these models are well-suited for density estimation, recent results proved posterior inconsistency…
Reparameterization of extreme value framework for improved Bayesian workflow
Théo Moins, Julyan Arbel, Stéphane Girard +1
Using Bayesian methods for extreme value analysis offers an alternative to frequentist ones, with several advantages such as easily dealing with parametric uncertainty or studying…
Cold Posteriors through PAC-Bayes
Konstantinos Pitas, Julyan Arbel
We investigate the cold posterior effect through the lens of PAC-Bayes generalization bounds. We argue that in the non-asymptotic setting, when the number of training samples is (r…
Gaussian Pre-Activations in Neural Networks: Myth or Reality?
Pierre Wolinski, Julyan Arbel
The study of feature propagation at initialization in neural networks lies at the root of numerous initialization designs. An assumption very commonly made in the field states that…
On the use of a local to improve MCMC convergence diagnostic
Théo Moins, Julyan Arbel, Anne Dutfoy +1
Diagnosing convergence of Markov chain Monte Carlo is crucial and remains an essentially unsolved problem. Among the most popular methods, the potential scale reduction factor, com…