| Concentration inequalities for Markov chains by Marton couplings and spectral methods D Paulin Electronic Journal of Probability 20, 1-32, 2015 | 293 | 2015 |
| 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 The Annals of Applied Probability 31 (6), 2612-2662, 2021 | 60 | 2021 |
| Efficient MCMC sampling with dimension-free convergence rate using ADMM-type splitting M Vono, D Paulin, A Doucet Journal of Machine Learning Research 23 (25), 1-69, 2022 | 44 | 2022 |
| Efron–Stein inequalities for random matrices D Paulin, L Mackey, JA Tropp Annals of Probability 44 (5), 3431-3473, 2016 | 39 | 2016 |
| Mixing and concentration by Ricci curvature D Paulin Journal of Functional Analysis 270 (5), 1623-1662, 2016 | 24 | 2016 |
| Dual space preconditioning for gradient descent CJ Maddison, D Paulin, YW Teh, A Doucet SIAM Journal on Optimization 31 (1), 991-1016, 2021 | 21 | 2021 |
| Error bounds for sequential Monte Carlo samplers for multimodal distributions D Paulin, A Jasra, A Thiery Bernoulli 25 (1), 310-340, 2019 | 21* | 2019 |
| The convex distance inequality for dependent random variables, with applications to the stochastic travelling salesman and other problems D Paulin Electronic Journal of Probability 19, 1-34, 2014 | 19 | 2014 |
| Contraction and convergence rates for discretized kinetic Langevin dynamics B Leimkuhler, D Paulin, PA Whalley SIAM Journal on Numerical Analysis 62 (3), 1226-1258, 2024 | 13 | 2024 |
| Locally perturbed random walks with unbounded jumps D Paulin, D Szász Journal of Statistical Physics 141 (6), 1116-1130, 2010 | 10 | 2010 |
| Hypothesis testing for Markov chain Monte Carlo BM Gyori, D Paulin Statistics and Computing 26, 1281-1292, 2016 | 7 | 2016 |
| On concentration properties of partially observed chaotic systems D Paulin, A Jasra, D Crisan, A Beskos Advances in Applied Probability 50 (2), 440-479, 2018 | 6 | 2018 |
| Optimization based methods for partially observed chaotic systems D Paulin, A Jasra, D Crisan, A Beskos Foundations of Computational Mathematics 19, 485-559, 2019 | 5 | 2019 |
| A 4D-Var method with flow-dependent background covariances for the shallow-water equations D Paulin, A Jasra, A Beskos, D Crisan Statistics and Computing 32 (Article number 65), 1-15, 2022 | 4* | 2022 |
| Randomized Time Riemannian Manifold Hamiltonian Monte Carlo PA Whalley, D Paulin, B Leimkuhler Statistics and Computing 34 (1), 48, 2024 | 3 | 2024 |
| Consultancy Style Dissertations in Statistics and Data Science: Why and How S Sharifi Far, V Inácio, D Paulin, M de Carvalho, NH Augustin, ... The American Statistician 77 (3), 331-339, 2023 | | 2023 |
| Bayesian Regularisation for Tail Index Regression MW Lee, M de Carvalho, D Paulin, S Pereira, R Trigo, C Da Camara 37th International Workshop on Statistical Modelling (IWSM), Dortmund …, 2023 | | 2023 |
