George Deligiannidis
George Deligiannidis
Associate Professor in Statistics, University of Oxford
Verified email at stats.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator
A Doucet, MK Pitt, G Deligiannidis, R Kohn
Biometrika 102 (2), 295-313, 2015
2432015
The Correlated Pseudo-Marginal Method
G Deligiannidis, A Doucet, MK Pitt
JRSSB 80 (5), 839–870, 2015
902015
Piecewise-Deterministic Markov Chain Monte Carlo
P Vanetti, A Bouchard-Côté, G Deligiannidis, A Doucet
arXiv preprint arXiv:1707.05296, 2017
492017
Controlled sequential monte carlo
J Heng, AN Bishop, G Deligiannidis, A Doucet
arXiv preprint arXiv:1708.08396 (to appear in AoS), 2017
342017
Exponential Ergodicity of the Bouncy Particle Sampler
G Deligiannidis, A Bouchard-Côté, A Doucet
Annals of Statistics 47 (3), 1268-1287, 2019
252019
Asymptotic variance of the self-intersections of stable random walks using Darboux-Wiener theory
G Deligiannidis, SA Utev
Siberian mathematical journal 52 (4), 639-650, 2011
212011
Optimal Stopping for processes with independent increments, and applications
G Deligiannidis, H Le, S Utev
Journal of Applied Probability 46 (4), 1130-1145, 2009
192009
Unbiased Markov chain Monte Carlo for intractable target distributions
L Middleton, G Deligiannidis, A Doucet, PE Jacob
arXiv preprint arXiv:1807.08691, 2018
112018
Randomized Hamiltonian Monte Carlo as scaling limit of the bouncy particle sampler and dimension-free convergence rates
G Deligiannidis, D Paulin, A Bouchard-Côté, A Doucet
arXiv preprint arXiv:1808.04299, 2018
102018
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
92019
Unbiased smoothing using particle independent Metropolis-Hastings
L Middleton, G Deligiannidis, A Doucet, PE Jacob
arXiv preprint arXiv:1902.01781, 2019
92019
Scalable Metropolis-Hastings for exact Bayesian inference with large datasets
R Cornish, P Vanetti, A Bouchard-Côté, G Deligiannidis, A Doucet
ICML, 2019
92019
Which ergodic averages have finite asymptotic variance?
G Deligiannidis, A Lee
Annals of Applied Probability 28 (4), 2309-2334, 2018
92018
Large sample asymptotics of the pseudo-marginal method
SM Schmon, G Deligiannidis, A Doucet, MK Pitt
to appear in Biometrika, arXiv preprint arXiv:1806.10060, 2018
82018
Relaxing bijectivity constraints with continuously indexed normalising flows
R Cornish, AL Caterini, G Deligiannidis, A Doucet
arXiv preprint arXiv:1909.13833, 2019
52019
Randomized Hamiltonian Monte Carlo as Scaling Limit of the Bouncy Particle Sampler and Dimension-Free Convergence Rates. arXiv e-prints, page
G Deligiannidis, D Paulin, A Bouchard-Côté, A Doucet
arXiv preprint arXiv:1808.04299, 2018
52018
Localised generative flows
R Cornish, A Caterini, G Deligiannidis, A Doucet
42019
Relative Complexity of Random Walks in Random Scenery in the absence of a weak invariance principle for the local times
G Deligiannidis, Z Kosloff
Annals of Probability 45 (4), 2505-2532, 2017
42017
An asymptotic variance of the self-intersections of random walks
G Deligiannidis, S Utev
arXiv preprint arXiv:1004.4845, 2010
32010
Unbiased Markov chain Monte Carlo for intractable target distributions
L Middleton, G Deligiannidis, A Doucet, PE Jacob
Electronic Journal of Statistics 14 (2), 2842-2891, 2020
22020
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