Daniel Paulin

Orcid: 0000-0001-7837-6452

According to our database1, Daniel Paulin authored at least 13 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Randomized time Riemannian Manifold Hamiltonian Monte Carlo.
Stat. Comput., February, 2024

Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics.
SIAM J. Numer. Anal., 2024

Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations".
CoRR, 2024

2023
Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients.
CoRR, 2023

Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin Integrators.
CoRR, 2023

2022
A 4D-Var method with flow-dependent background covariances for the shallow-water equations.
Stat. Comput., 2022

Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting.
J. Mach. Learn. Res., 2022

2021
Dual Space Preconditioning for Gradient Descent.
SIAM J. Optim., 2021

On Mixing Times of Metropolized Algorithm With Optimization Step (MAO) : A New Framework.
CoRR, 2021

2019
Optimization Based Methods for Partially Observed Chaotic Systems.
Found. Comput. Math., 2019

2018
Hamiltonian Descent Methods.
CoRR, 2018

2016
Hypothesis testing for Markov chain Monte Carlo.
Stat. Comput., 2016

2014
Probabilistic verification of partially observable dynamical systems.
CoRR, 2014


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