Daniel Paulin

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 13

Top Topics

Partially Observable

Stochastic Gradient

Top Venues

SIAM J. Numer. Anal.

Publications

Benedict J. Leimkuhler, Daniel Paulin, Peter A. Whalley
Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics. SIAM J. Numer. Anal. 62 (3) (2024)
Daniel Paulin, Peter A. Whalley
Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations". CoRR (2024)
Peter A. Whalley, Daniel Paulin, Benedict J. Leimkuhler
Randomized time Riemannian Manifold Hamiltonian Monte Carlo. Stat. Comput. 34 (1) (2024)
Benedict J. Leimkuhler, Daniel Paulin, Peter A. Whalley
Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin Integrators. CoRR (2023)
Neil K. Chada, Benedict J. Leimkuhler, Daniel Paulin, Peter A. Whalley
Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients. CoRR (2023)
Benedict J. Leimkuhler, Daniel Paulin, Peter A. Whalley
Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics. CoRR (2023)
Daniel Paulin, Ajay Jasra, Alexandros Beskos, Dan Crisan
A 4D-Var method with flow-dependent background covariances for the shallow-water equations. Stat. Comput. 32 (4) (2022)
Maxime Vono, Daniel Paulin, Arnaud Doucet
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting. J. Mach. Learn. Res. 23 (2022)
Chris J. Maddison, Daniel Paulin, Yee Whye Teh, Arnaud Doucet
Dual Space Preconditioning for Gradient Descent. SIAM J. Optim. 31 (1) (2021)
E. L. Mahdi Khribch, George Deligiannidis, Daniel Paulin
On Mixing Times of Metropolized Algorithm With Optimization Step (MAO) : A New Framework. CoRR (2021)
Daniel Paulin, Ajay Jasra, Dan Crisan, Alexandros Beskos
Optimization Based Methods for Partially Observed Chaotic Systems. Found. Comput. Math. 19 (3) (2019)
Chris J. Maddison, Daniel Paulin, Yee Whye Teh, Brendan O'Donoghue, Arnaud Doucet
Hamiltonian Descent Methods. CoRR (2018)
Benjamin M. Gyori, Daniel Paulin
Hypothesis testing for Markov chain Monte Carlo. Stat. Comput. 26 (6) (2016)
Benjamin M. Gyori, Daniel Paulin, Sucheendra K. Palaniappan
Probabilistic verification of partially observable dynamical systems. CoRR (2014)