The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov Chain Monte Carlo Method
Bouchard-Côté, A
Vollmer, S
Doucet, A
(08 Oct 2015)
doi:10.48550/arxiv.1510.02451
Piecewise Deterministic Markov Processes for Scalable Monte Carlo on Restricted Domains
Bierkens, J
Bouchard-Côté, A
Doucet, A
Duncan, A
Fearnhead, P
Lienart, T
Roberts, G
Vollmer, S
(16 Jan 2017)
doi:10.48550/arxiv.1701.04244
Hamiltonian Variational Auto-Encoder
Caterini, A
Doucet, A
Sejdinovic, D
(29 May 2018)
doi:10.48550/arxiv.1805.11328
Large Scale Tensor Regression using Kernels and Variational Inference
Hu, R
Nicholls, G
Sejdinovic, D
(11 Feb 2020)
doi:10.48550/arxiv.2002.04704
Variational Inference with Continuously-Indexed Normalizing Flows
Caterini, A
Cornish, R
Sejdinovic, D
Doucet, A
(10 Jul 2020)
doi:10.48550/arxiv.2007.05426
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects
Fawkes, J
Hu, R
Evans, R
Sejdinovic, D
(09 Dec 2022)
doi:10.48550/arxiv.2212.04922
The genealogy of branching Brownian motion with absorption
Berestycki, J
Berestycki, N
Schweinsberg, J
(13 Jan 2010)
doi:10.48550/arxiv.1001.2337
A small-time coupling between $\Lambda$-coalescents and branching processes
Berestycki, J
Berestycki, N
Limic, V
(10 Jan 2011)
doi:10.48550/arxiv.1101.1875
The number of accessible paths in the hypercube
Berestycki, J
Brunet, É
Shi, Z
(31 Mar 2013)
doi:10.48550/arxiv.1304.0246
Exact solution and precise asymptotics of a Fisher-KPP type front
Berestycki, J
Brunet, É
Derrida, B
(23 May 2017)
doi:10.48550/arxiv.1705.08416