Doucet, Arnaud.
Arnaud Doucet
Doucet, Arnaud 1970-....
VIAF ID: 55047042 (Personal)
Permalink: http://viaf.org/viaf/55047042
Preferred Forms
- 100 0 _ ‡a Arnaud Doucet
- 200 _ | ‡a Doucet ‡b Arnaud ‡f 1970-....
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- 100 1 _ ‡a Doucet, Arnaud
- 100 1 _ ‡a Doucet, Arnaud
- 100 1 _ ‡a Doucet, Arnaud
- 100 1 _ ‡a Doucet, Arnaud
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4xx's: Alternate Name Forms (3)
5xx's: Related Names (1)
Works
Title | Sources |
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Adaptive multiple importance sampling and approximate bayesian computation with applications in population genetics.. | |
Asymptotic and increasing propagation of chaos expansions for genealogical particle models | |
Augmented Neural ODEs | |
A backward particle interpretation of Feynman-Kac formulae | |
Bayesian Nonparametric Models on Decomposable Graphs | |
Bayesian Policy Learning with Trans-Dimensional MCMC | |
Bayesian sparsity-path-analysis of genetic association signal using generalized t priors. | |
Bias of Particle Approximations to Optimal Filter Derivative | |
A boosting approach to structure learning of graphs with and without prior knowledge. | |
Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling | |
Computation bayésienne séquentielle. | |
Contributions to the theoretical study of variational inference and robustness | |
Distributed online self-localization... | |
Échantillonnage préférentiel adaptatif et méthodes bayésiennes approchées appliquées à la génétique des populations. | |
Estimations pour les modèles de Markov cachés et approximations particulaires : Application à la cartographie et à la localisation simultanées. | |
Expectation Particle Belief Propagation | |
Exponential ergodicity of the bouncy particle sampler | |
Filtering Variational Objectives | |
Global Optimisation of Neural Network Models via Sequential Sampling | |
Hamiltonian Variational Auto-Encoder | |
Inference in hidden Markov models and particle approximations - application to the simultaneous localization and mapping problem. | |
An Introduction to MCMC for Machine Learning | |
Méthodes de Monte-Carlo adaptatives pour les modèles complexes. | |
Modular Meta-Learning with Shrinkage | |
Nouvelles Méthodes Variationnelles pour l'inférence et l'apprentissage | |
Novel Variational Approaches to Inference and Learning. | |
On the utility of graphics cards to perform massively parallel simulation of advanced Monte Carlo methods. | |
Particle methods: An introduction with applications | |
Particle Motions in Absorbing Medium with Hard and Soft Obstacles | |
Randomized Hamiltonian Monte Carlo as scaling limit of the bouncy particle sampler and dimension-free convergence rates | |
Robust Full Bayesian Methods for Neural Networks | |
Sequential Bayesian Kernel Regression | |
Sequential Monte Carlo methods in practice, 2001: | |
Stratégies d'accélération des algorithmes de Monte Carlo par chaîne de Markov pour le calcul Bayésien. | |
The Unscented Particle Filter |