1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling
Julien Demange-Chryst, François Bachoc, Jérôme Morio +1
Probability density function estimation with weighted samples is the main foundation of all adaptive importance sampling algorithms. Classically, a target distribution is approxima…
math.ST2021★ 1 cited
Posterior contraction rates for constrained deep Gaussian processes in density estimation and classication
François Bachoc, Agnès Lagnoux
We provide posterior contraction rates for constrained deep Gaussian processes in non-parametric density estimation and classication. The constraints are in the form of bounds on t…
math.ST2014
Hastings-Metropolis algorithm on Markov chains for small-probability estimation
François Bachoc, Lionel Lenôtre, Achref Bachouch
Shielding studies in neutron transport, with Monte Carlo codes, yield challenging problems of small-probability estimation. The particularity of these studies is that the small pro…