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
2842015
The Correlated Pseudo-Marginal Method
G Deligiannidis, A Doucet, MK Pitt
JRSSB 80 (5), 839–870, 2015
1092015
Piecewise-deterministic Markov chain Monte Carlo
P Vanetti, A Bouchard-Côté, G Deligiannidis, A Doucet
arXiv preprint arXiv:1707.05296, 2017
702017
Controlled sequential monte carlo
J Heng, AN Bishop, G Deligiannidis, A Doucet
Annals of Statistics 48 (5), 2904 - 2929, 2017
462017
Exponential Ergodicity of the Bouncy Particle Sampler
G Deligiannidis, A Bouchard-Côté, A Doucet
Annals of Statistics 47 (3), 1268-1287, 2019
342019
Relaxing bijectivity constraints with continuously indexed normalising flows
R Cornish, A Caterini, G Deligiannidis, A Doucet
International Conference on Machine Learning, 2133-2143, 2020
322020
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
Accepted at Annals of Applied Probability, 2018
262018
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
242011
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
Electronic Journal of Statistics 14 (2), 2842-2891, 2020
162020
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
142019
Unbiased smoothing using particle independent Metropolis-Hastings
L Middleton, G Deligiannidis, A Doucet, PE Jacob
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
142019
Scalable Metropolis-Hastings for exact Bayesian inference with large datasets
R Cornish, P Vanetti, A Bouchard-Côté, G Deligiannidis, A Doucet
ICML, 2019
142019
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
142018
Which ergodic averages have finite asymptotic variance?
G Deligiannidis, A Lee
Annals of Applied Probability 28 (4), 2309-2334, 2018
112018
Hausdorff dimension, stochastic differential equations, and generalization in neural networks
U Þimșekli, O Sener, G Deligiannidis, MA Erdogdu
arXiv e-prints, arXiv: 2006.09313, 2020
72020
Efficient irreversible Monte Carlo samplers
F Faizi, G Deligiannidis, E Rosta
Journal of chemical theory and computation 16 (4), 2124-2138, 2020
72020
Hausdorff dimension, heavy tails, and generalization in neural networks
U Simsekli, O Sener, G Deligiannidis, MA Erdogdu
NeurIPS, 2020
7*2020
Differentiable particle filtering via entropy-regularized optimal transport
A Corenflos, J Thornton, G Deligiannidis, A Doucet
International Conference on Machine Learning, 2100-2111, 2021
52021
Stable resnet
S Hayou, E Clerico, B He, G Deligiannidis, A Doucet, J Rousseau
International Conference on Artificial Intelligence and Statistics, 1324-1332, 2021
42021
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Articles 1–20