George Deligiannidis

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Arnaud DoucetProfessor of Statistics, University of Oxford & Senior Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
M PittKing's College LondonVerified email at kcl.ac.uk
Rob CornishUniversity of OxfordVerified email at robots.ox.ac.uk
robert kohnProfessor of Economics University of New South WalesVerified email at unsw.edu.au
Eugenio ClericoDepartment of Statistics, University of OxfordVerified email at stats.ox.ac.uk
Daniel PaulinLecturer of Statistics and Data Science, University of EdinburghVerified email at ed.ac.uk
Valentin De BortoliCNRS, ENS UlmVerified email at stats.ox.ac.uk
Anthony CateriniMachine Learning Scientist, Layer6 AIVerified email at layer6.ai
Pierre E. JacobESSEC Business SchoolVerified email at essec.edu
Lawrence MiddletonAstraZenecaVerified email at astrazeneca.com
Umut SimsekliINRIA - École Normale SupérieureVerified email at inria.fr
Murat A. ErdogduUniversity of TorontoVerified email at stanford.edu
James ThorntonUniversity of OxfordVerified email at stats.ox.ac.uk
Saifuddin SyedUniversity of OxfordVerified email at stats.ox.ac.uk
Sebastian M SchmonShift LabVerified email at stats.ox.ac.uk
Jeremy HengAssistant Professor of Statistics, ESSEC Business SchoolVerified email at essec.edu
Adrien CorenflosDoctoral student, Aalto UniversityVerified email at aalto.fi
Ozan SenerAppleVerified email at cs.stanford.edu
Edina RostaUniversity College LondonVerified email at ucl.ac.uk
Fahim FaiziUniversity College LondonVerified email at ucl.ac.uk

George Deligiannidis

Associate Professor in Statistics, University of Oxford

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

Monte-Carlo probability learning theory machine learning


Title Sort by citations Sort by year Sort by 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	313	2015
The Correlated Pseudo-Marginal Method G Deligiannidis, A Doucet, MK Pitt JRSSB 80 (5), 839–870, 2015	130	2015
Piecewise-deterministic markov chain monte carlo P Vanetti, A Bouchard-Côté, G Deligiannidis, A Doucet arXiv preprint arXiv:1707.05296, 2017	90	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	67	2020
Controlled sequential monte carlo J Heng, AN Bishop, G Deligiannidis, A Doucet Annals of Statistics 48 (5), 2904 - 2929, 2017	67	2017
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	45	2021
Exponential Ergodicity of the Bouncy Particle Sampler G Deligiannidis, A Bouchard-Côté, A Doucet Annals of Statistics 47 (3), 1268-1287, 2019	44	2019
Differentiable particle filtering via entropy-regularized optimal transport A Corenflos, J Thornton, G Deligiannidis, A Doucet International Conference on Machine Learning, 2100-2111, 2021	35	2021
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	34	2021
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	30	2020
Large sample asymptotics of the pseudo-marginal method SM Schmon, G Deligiannidis, A Doucet, MK Pitt Biometrika 108 (1), 37-51, 2020	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
Unbiased Markov chain Monte Carlo for intractable target distributions L Middleton, G Deligiannidis, A Doucet, PE Jacob	24	2020
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
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
Scalable Metropolis-Hastings for exact Bayesian inference with large datasets R Cornish, P Vanetti, A Bouchard-Côté, G Deligiannidis, A Doucet ICML, 2019	15	2019
Quantitative uniform stability of the iterative proportional fitting procedure G Deligiannidis, V De Bortoli, A Doucet arXiv preprint arXiv:2108.08129, 2021	13	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	13	2021
Which ergodic averages have finite asymptotic variance? G Deligiannidis, A Lee Annals of Applied Probability 28 (4), 2309-2334, 2018	11	2018
Efficient irreversible Monte Carlo samplers F Faizi, G Deligiannidis, E Rosta Journal of chemical theory and computation 16 (4), 2124-2138, 2020	10	2020

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