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George Deligiannidis
George Deligiannidis
Associate Professor in Statistics, University of Oxford
Bestätigte E-Mail-Adresse bei stats.ox.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
3402015
The Correlated Pseudo-Marginal Method
G Deligiannidis, A Doucet, MK Pitt
J. R. Stat. Soc. Ser. B 80 (5), 839–870, 2015
1522015
Relaxing bijectivity constraints with continuously indexed normalising flows
R Cornish, A Caterini, G Deligiannidis, A Doucet
International conference on machine learning, 2133-2143, 2020
1002020
Piecewise-deterministic markov chain monte carlo
P Vanetti, A Bouchard-Côté, G Deligiannidis, A Doucet
arXiv preprint arXiv:1707.05296, 2017
982017
Controlled sequential monte carlo
J Heng, AN Bishop, G Deligiannidis, A Doucet
Annals of Statistics 48 (5), 2904 - 2929, 2017
892017
Differentiable particle filtering via entropy-regularized optimal transport
A Corenflos, J Thornton, G Deligiannidis, A Doucet
International Conference on Machine Learning, 2100-2111, 2021
702021
Non-reversible parallel tempering: a scalable highly parallel MCMC scheme
S Syed, A Bouchard-Côté, G Deligiannidis, A Doucet
Journal of the Royal Statistical Society, Series B 84 (2), 321-350, 2021
592021
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
Annals of Applied Probability 31 (6), 2612-2662, 2021
582021
Exponential Ergodicity of the Bouncy Particle Sampler
G Deligiannidis, A Bouchard-Côté, A Doucet
Annals of Statistics 47 (3), 1268-1287, 2019
522019
Hausdorff dimension, heavy tails, and generalization in neural networks
U Simsekli, O Sener, G Deligiannidis, MA Erdogdu
Advances in Neural Information Processing Systems 33, 5138-5151, 2020
492020
Stable resnet
S Hayou, E Clerico, B He, G Deligiannidis, A Doucet, J Rousseau
International Conference on Artificial Intelligence and Statistics, 1324-1332, 2021
452021
A continuous time framework for discrete denoising models
A Campbell, J Benton, V De Bortoli, T Rainforth, G Deligiannidis, ...
Advances in Neural Information Processing Systems 35, 28266-28279, 2022
392022
Conditional simulation using diffusion Schrödinger bridges
Y Shi, V De Bortoli, G Deligiannidis, A Doucet
Uncertainty in Artificial Intelligence, 1792-1802, 2022
392022
Large sample asymptotics of the pseudo-marginal method
SM Schmon, G Deligiannidis, A Doucet, MK Pitt
Biometrika 108 (1), 37-51, 2020
352020
Unbiased Markov chain Monte Carlo for intractable target distributions
L Middleton, G Deligiannidis, A Doucet, PE Jacob
332020
Linear convergence bounds for diffusion models via stochastic localization
J Benton, V De Bortoli, A Doucet, G Deligiannidis
arXiv preprint arXiv:2308.03686, 2023
312023
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
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
25*2011
Quantitative uniform stability of the iterative proportional fitting procedure
G Deligiannidis, V de Bortoli, A Doucet
The Annals of Applied Probability 34 (1A), 501-516, 2024
232024
Scalable Metropolis-Hastings for exact Bayesian inference with large datasets
R Cornish, P Vanetti, A Bouchard-Côté, G Deligiannidis, A Doucet
ICML, 2019
212019
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