Daniel Paulin
Daniel Paulin
Lecturer of Statistics and Data Science, University of Edinburgh
Verified email at ed.ac.uk - Homepage
TitleCited byYear
Concentration inequalities for Markov chains by Marton couplings and spectral methods
D Paulin
Electronic Journal of Probability 20, 2015
Efron–Stein inequalities for random matrices
D Paulin, L Mackey, JA Tropp
The Annals of Probability 44 (5), 3431-3473, 2016
Hamiltonian descent methods
CJ Maddison, D Paulin, YW Teh, B O'Donoghue, A Doucet
arXiv preprint arXiv:1809.05042, 2018
Error bounds for sequential Monte Carlo samplers for multimodal distributions
D Paulin, A Jasra, A Thiery
arXiv preprint arXiv:1509.08775, 2015
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, 2014
Mixing and concentration by Ricci curvature
D Paulin
Journal of Functional Analysis 270 (5), 1623-1662, 2016
Locally perturbed random walks with unbounded jumps
D Paulin, D Szász
Journal of Statistical Physics 141 (6), 1116-1130, 2010
Non-asymptotic confidence intervals for MCMC in practice
BM Gyori, D Paulin
arXiv preprint arXiv:1212.2016, 2012
Deriving matrix concentration inequalities from kernel couplings
D Paulin, L Mackey, JA Tropp
arXiv preprint arXiv:1305.0612, 2013
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
arXiv preprint arXiv:1808.04299, 2018
Hypothesis testing for Markov chain Monte Carlo
BM Gyori, D Paulin
Statistics and Computing 26 (6), 1281-1292, 2016
Optimization based methods for partially observed chaotic systems
D Paulin, A Jasra, D Crisan, A Beskos
Foundations of Computational Mathematics 19 (3), 485-559, 2019
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
Dual space preconditioning for gradient descent
CJ Maddison, D Paulin, YW Teh, A Doucet
arXiv preprint arXiv:1902.02257, 2019
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting
M Vono, D Paulin, A Doucet
arXiv preprint arXiv:1905.11937, 2019
A 4D-Var method with flow-dependent background covariances for the shallow-water equations
D Paulin, A Jasra, A Beskos, D Crisan
arXiv preprint arXiv:1710.11529, 2017
Comment on Sequential Quasi-Monte-Carlo sampling by M. Gerber and N. Chopin
A Jasra, D Paulin, AH Thiery
D Chatterjee
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Articles 1–18