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Lista de obras de Arnaud Doucet

A backward particle interpretation of Feynman-Kac formulae

article published in 2010

A boosting approach to structure learning of graphs with and without prior knowledge.

artículo científico publicado en 2009

An Introduction to MCMC for Machine Learning

scholarly article by Christophe Andrieu et al published 2003 in Machine Learning

An adaptive sequential Monte Carlo method for approximate Bayesian computation

article published in 2011

Asynchronous Anytime Sequential Monte Carlo

artículo científico publicado en 2014

Augmented Neural ODEs

Bayesian Nonparametric Models on Decomposable Graphs

artículo científico publicado en 2009

Bayesian Policy Learning with Trans-Dimensional MCMC

artículo científico publicado en 2008

Bayesian sparsity-path-analysis of genetic association signal using generalized t priors.

artículo científico publicado en 2012

Bias of Particle Approximations to Optimal Filter Derivative

scientific article published in 2021

Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling

artículo científico publicado en 2017

Expectation Particle Belief Propagation

Exponential ergodicity of the bouncy particle sampler

artículo científico publicado en 2019

Filtering Variational Objectives

artículo científico publicado en 2017

Global Optimisation of Neural Network Models via Sequential Sampling

Hamiltonian Variational Auto-Encoder

Modular Meta-Learning with Shrinkage

artículo científico publicado en 2020

On adaptive resampling strategies for sequential Monte Carlo methods

On sequential Monte Carlo sampling methods for Bayesian filtering

On the Utility of Graphics Cards to Perform Massively Parallel Simulation of Advanced Monte Carlo Methods

artículo científico publicado el 1 de diciembre de 2010

Particle Markov chain Monte Carlo methods

Particle Motions in Absorbing Medium with Hard and Soft Obstacles

article published in 2004

Particle methods: An introduction with applications

Randomized Hamiltonian Monte Carlo as scaling limit of the bouncy particle sampler and dimension-free convergence rates

artículo científico publicado en 2021

Rao-Blackwellised Particle Filtering via Data Augmentation

Robust Full Bayesian Methods for Neural Networks

Sequential Bayesian Kernel Regression

artículo científico publicado en 2004

Sequential Monte Carlo samplers

The Unscented Particle Filter