Probabilistic verification of partially observable dynamical systems. - Benjamin M. Gyori; Daniel Paulin; Sucheendra K. Palaniappan (CoRR, 2014)

Hypothesis testing for Markov chain Monte Carlo. - Benjamin M. Gyori; Daniel Paulin (Stat. Comput., 2016)

Hamiltonian Descent Methods. - Chris J. Maddison; Daniel Paulin; Yee Whye Teh; Brendan O'Donoghue; Arnaud Doucet (CoRR, 2018)

Optimization Based Methods for Partially Observed Chaotic Systems. - Daniel Paulin; Ajay Jasra; Dan Crisan; Alexandros Beskos (Found. Comput. Math., 2019)

On Mixing Times of Metropolized Algorithm With Optimization Step (MAO) : A New Framework. - E. L. Mahdi Khribch; George Deligiannidis; Daniel Paulin (CoRR, 2021)

Dual Space Preconditioning for Gradient Descent. - Chris J. Maddison; Daniel Paulin; Yee Whye Teh; Arnaud Doucet (SIAM J. Optim., 2021)

Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting. - Maxime Vono; Daniel Paulin; Arnaud Doucet (J. Mach. Learn. Res., 2022)

A 4D-Var method with flow-dependent background covariances for the shallow-water equations. - Daniel Paulin; Ajay Jasra; Alexandros Beskos; Dan Crisan (Stat. Comput., 2022)

Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin Integrators. - Benedict J. Leimkuhler; Daniel Paulin; Peter A. Whalley (CoRR, 2023)

Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients. - Neil K. Chada; Benedict J. Leimkuhler; Daniel Paulin; Peter A. Whalley (CoRR, 2023)

Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations". - Daniel Paulin; Peter A. Whalley (CoRR, 2024)

Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics. - Benedict J. Leimkuhler; Daniel Paulin; Peter A. Whalley (SIAM J. Numer. Anal., 2024)

Randomized time Riemannian Manifold Hamiltonian Monte Carlo. - Peter A. Whalley; Daniel Paulin; Benedict J. Leimkuhler (Stat. Comput., 2024)

Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics. - Daniel Paulin; Peter A. Whalley; Neil K. Chada; Benedict J. Leimkuhler (AISTATS, 2025)