Daniel Paulin

19 papers A 1Journal 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Infinite-dimensional generative diffusions via Doob's h-transform.
CoRR
Thorben Pieper-Sethmacher, Daniel Paulin
2025 J jnl
A Nonparametric Discrete Hawkes Model with a Collapsed Gaussian-Process Prior.
CoRR
Trinnhallen Brisley, Gordon Ross, Daniel Paulin
2025 A conf
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics.
AISTATS
Daniel Paulin, Peter A. Whalley, Neil K. Chada, Benedict J. Leimkuhler
2024 J jnl
Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics.
SIAM J. Numer. Anal.
Benedict J. Leimkuhler, Daniel Paulin, Peter A. Whalley
2024 J jnl
Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations".
CoRR
Daniel Paulin, Peter A. Whalley
2024 J jnl
Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations".
J. Mach. Learn. Res.
Daniel Paulin, Peter A. Whalley
2024 J jnl
Randomized time Riemannian Manifold Hamiltonian Monte Carlo.
Stat. Comput.
Peter A. Whalley, Daniel Paulin, Benedict J. Leimkuhler
2024 J jnl
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics.
CoRR
Daniel Paulin, Peter A. Whalley, Neil K. Chada, Benedict J. Leimkuhler
2023 J jnl
Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin Integrators.
CoRR
Benedict J. Leimkuhler, Daniel Paulin, Peter A. Whalley
2023 J jnl
Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics.
CoRR
Benedict J. Leimkuhler, Daniel Paulin, Peter A. Whalley
2023 J jnl
Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients.
CoRR
Neil K. Chada, Benedict J. Leimkuhler, Daniel Paulin, Peter A. Whalley
2022 J jnl
A 4D-Var method with flow-dependent background covariances for the shallow-water equations.
Stat. Comput.
Daniel Paulin, Ajay Jasra, Alexandros Beskos, Dan Crisan
2022 J jnl
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting.
J. Mach. Learn. Res.
Maxime Vono, Daniel Paulin, Arnaud Doucet
2021 J jnl
Dual Space Preconditioning for Gradient Descent.
SIAM J. Optim.
Chris J. Maddison, Daniel Paulin, Yee Whye Teh, Arnaud Doucet
2021 J jnl
On Mixing Times of Metropolized Algorithm With Optimization Step (MAO) : A New Framework.
CoRR
E. L. Mahdi Khribch, George Deligiannidis, Daniel Paulin
2019 J jnl
Optimization Based Methods for Partially Observed Chaotic Systems.
Found. Comput. Math.
Daniel Paulin, Ajay Jasra, Dan Crisan, Alexandros Beskos
2018 J jnl
Hamiltonian Descent Methods.
CoRR
Chris J. Maddison, Daniel Paulin, Yee Whye Teh, Brendan O'Donoghue, Arnaud Doucet
2016 J jnl
Hypothesis testing for Markov chain Monte Carlo.
Stat. Comput.
Benjamin M. Gyori, Daniel Paulin
2014 J jnl
Probabilistic verification of partially observable dynamical systems.
CoRR
Benjamin M. Gyori, Daniel Paulin, Sucheendra K. Palaniappan