George Deligiannidis

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Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
M PittKing's College LondonVerified email at kcl.ac.uk
Valentin De BortoliGoogle DeepMind, LondonVerified email at google.com
Rob CornishUniversity of OxfordVerified email at robots.ox.ac.uk
Eugenio ClericoDepartment of Statistics, University of OxfordVerified email at stats.ox.ac.uk
Umut SimsekliINRIA - École Normale SupérieureVerified email at inria.fr
robert kohnProfessor of Economics University of New South WalesVerified email at unsw.edu.au
Joe BentonUniversity of OxfordVerified email at stats.ox.ac.uk
Daniel PaulinLecturer of Statistics and Data Science, University of EdinburghVerified email at ed.ac.uk
Anthony CateriniMachine Learning Scientist, Layer6 AIVerified email at layer6.ai
Saifuddin SyedUniversity of OxfordVerified email at stats.ox.ac.uk
Murat A. ErdogduUniversity of TorontoVerified email at stanford.edu
James ThorntonApple | University of OxfordVerified email at stats.ox.ac.uk
Pierre E. JacobESSEC Business SchoolVerified email at essec.edu
Sebastian M SchmonAltos LabsVerified email at stats.ox.ac.uk
Yuyang ShiPhD Student, University of OxfordVerified email at stats.ox.ac.uk
Jeremy HengAssistant Professor of Statistics, ESSEC Business SchoolVerified email at essec.edu
Tom RainforthUniversity of OxfordVerified email at stats.ox.ac.uk
Adrien CorenflosDoctoral student, Aalto UniversityVerified email at aalto.fi
Ozan SenerAppleVerified email at cs.stanford.edu

George Deligiannidis

Associate Professor in Statistics, University of Oxford

Verified email at stats.ox.ac.uk - Homepage

Monte-Carlo probability learning theory machine learning


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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	342	2015
The Correlated Pseudo-Marginal Method G Deligiannidis, A Doucet, MK Pitt J. R. Stat. Soc. Ser. B 80 (5), 839–870, 2015	147	2015
Piecewise-deterministic markov chain monte carlo P Vanetti, A Bouchard-Côté, G Deligiannidis, A Doucet arXiv preprint arXiv:1707.05296, 2017	95	2017
Relaxing bijectivity constraints with continuously indexed normalising flows R Cornish, A Caterini, G Deligiannidis, A Doucet International conference on machine learning, 2133-2143, 2020	91	2020
Controlled sequential monte carlo J Heng, AN Bishop, G Deligiannidis, A Doucet Annals of Statistics 48 (5), 2904 - 2929, 2017	79	2017
Differentiable particle filtering via entropy-regularized optimal transport A Corenflos, J Thornton, G Deligiannidis, A Doucet International Conference on Machine Learning, 2100-2111, 2021	56	2021
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	55	2021
Exponential Ergodicity of the Bouncy Particle Sampler G Deligiannidis, A Bouchard-Côté, A Doucet Annals of Statistics 47 (3), 1268-1287, 2019	51	2019
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	49	2020
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	47	2021
Stable resnet S Hayou, E Clerico, B He, G Deligiannidis, A Doucet, J Rousseau International Conference on Artificial Intelligence and Statistics, 1324-1332, 2021	33	2021
Large sample asymptotics of the pseudo-marginal method SM Schmon, G Deligiannidis, A Doucet, MK Pitt Biometrika 108 (1), 37-51, 2020	33	2020
Conditional simulation using diffusion Schrödinger bridges Y Shi, V De Bortoli, G Deligiannidis, A Doucet Uncertainty in Artificial Intelligence, 1792-1802, 2022	30	2022
Unbiased Markov chain Monte Carlo for intractable target distributions L Middleton, G Deligiannidis, A Doucet, PE Jacob	28	2020
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	26*	2011
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	24	2022
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	23	2019
Scalable Metropolis-Hastings for exact Bayesian inference with large datasets R Cornish, P Vanetti, A Bouchard-Côté, G Deligiannidis, A Doucet ICML, 2019	21	2019
Optimal Stopping for processes with independent increments, and applications G Deligiannidis, H Le, S Utev Journal of Applied Probability 46 (4), 1130-1145, 2009	20	2009
Quantitative uniform stability of the iterative proportional fitting procedure G Deligiannidis, V De Bortoli, A Doucet Accepted at Annals of Applied Probability arXiv preprint arXiv:2108.08129, 2021	19	2021

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