Arnaud Doucet
Arnaud Doucet
Professor of Statistics, University of Oxford & Research Scientist, Google DeepMind
Verified email at stats.ox.ac.uk - Homepage
TitleCited byYear
Non-reversible jump algorithms for Bayesian nested model selection
P Gagnon, A Doucet
arXiv preprint arXiv:1911.01340, 2019
12019
Localised Generative Flows
R Cornish, AL Caterini, G Deligiannidis, A Doucet
arXiv preprint arXiv:1909.13833, 2019
2019
Asymptotic Properties of Recursive Particle Maximum Likelihood Estimation
VZB Tadić, A Doucet
2019 IEEE International Symposium on Information Theory (ISIT), 887-891, 2019
2019
Mean-field Behaviour of Neural Tangent Kernel for Deep Neural Networks
S Hayou, A Doucet, J Rousseau
arXiv preprint arXiv:1905.13654, 2019
1*2019
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting
M Vono, D Paulin, A Doucet
arXiv preprint arXiv:1905.11937, 2019
2019
Replica Conditional Sequential Monte Carlo
AY Shestopaloff, A Doucet
ICML 2019 - arXiv preprint arXiv:1905.05255, 2019
2019
Non-Reversible Parallel Tempering: a Scalable Highly Parallel MCMC Scheme
S Syed, A Bouchard-Côté, G Deligiannidis, A Doucet
arXiv preprint arXiv:1905.02939, 2019
2*2019
Augmented Neural ODEs
E Dupont, A Doucet, YW Teh
NeurIPS 2019 - arXiv preprint arXiv:1904.01681, 2019
132019
On the Impact of the Activation Function on Deep Neural Networks Training
S Hayou, A Doucet, J Rousseau
ICML 2019 - arXiv preprint arXiv:1902.06853, 2019
27*2019
Dual space preconditioning for gradient descent
CJ Maddison, D Paulin, YW Teh, A Doucet
arXiv preprint arXiv:1902.02257, 2019
22019
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
R Cornish, P Vanetti, A Bouchard-Côté, G Deligiannidis, A Doucet
ICML 2019 - arXiv preprint arXiv:1901.09881, 2019
32019
Analyticity of entropy rates of continuous-state hidden Markov models
VZB Tadic, A Doucet
IEEE Transactions on Information Theory (to appear) arXiv preprint arXiv …, 2019
12019
Unbiased smoothing using Particle Independent Metropolis-Hastings
L Middleton, G Deligiannidis, A Doucet, PE Jacob
AISTATS 2019, 2019
22019
Bernoulli race particle filters
S Schmon, G Deligiannidis, A Doucet
AISTATS 2019, 2019
2019
Controlled sequential Monte Carlo
J Heng, AN Bishop, G Deligiannidis, A Doucet
Annals of Statistics, to appear (arXiv preprint arXiv:1708.08396), 2019
182019
Exponential Ergodicity of the Bouncy Particle Sampler
G Deligiannidis, A Bouchard-Côté, A Doucet
Annals of Statistics 47 (3), 1268--1287, 2019
152019
Multivariate stochastic volatility with co-heteroscedasticity
JCC Chan, A Doucet, R León-González, RW Strachan
CAMA Working Paper, 2018
2018
Hamiltonian descent methods
CJ Maddison, D Paulin, YW Teh, B O'Donoghue, A Doucet
arXiv preprint arXiv:1809.05042, 2018
142018
Scalable Monte Carlo inference for state-space models
S Yıldırım, C Andrieu, A Doucet
arXiv preprint arXiv:1809.02527, 2018
12018
Randomized Hamiltonian Monte Carlo as Scaling Limit of the Bouncy Particle Sampler and Dimension-Free Convergence Rates
G Deligiannidis, D Paulin, A Doucet
arXiv preprint arXiv 1808.04299, 2018
32018
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