This paper introduces a general framework for iterative optimization
alg...
The Importance Markov chain is a new algorithm bridging the gap between
...
This article draws connections between unbiased estimators constructed f...
The present paper focuses on the problem of sampling from a given target...
This paper focuses on α-divergence minimisation methods for
Variational ...
The class of observation-driven models (ODMs) includes many models of
no...
In this paper, we introduce a novel iterative algorithm which carries ou...
We introduce in this work a new method for online approximate Bayesian
l...
This paper introduces the (α, Γ)-descent, an iterative algorithm
which o...
This paper introduces the f-EI(ϕ) algorithm, a novel iterative
algorithm...
In this contribution we are interested in proving that a given
observati...