Daniel Paulin

3 papers · 2022–2025 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

JMLR (2) AISTATS (1)

Top co-authors

Peter A. Whalley (2) Benedict J. Leimkuhler (1) Neil K. Chada (1) Maxime Vono (1) Arnaud Doucet (1)

Research topics

Machine Learning (3) Optimization & Theory · Machine Learning (3) Deep Learning (2) Mathematics & Optimization (2) Bayesian & Probabilistic (2) Learning Types (1) Mathematics (1) Optimization (1) Optimization & Theory · Deep Learning (1) Probability (1)

Keywords

markov chain monte carlo (2) langevin dynamics (1) bayesian inference (1) model calibration (1) high-dimensional inference (1) posterior sampling (1) posterior distribution (1) numerical approximation (1) convergence rate (1) stochastic differential equation (1) bayesian neural network (1) split gibbs sampler (1) wasserstein distance (1) ergodic process (1)

Papers

Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics AISTATS 2025 Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations" JMLR 2024 Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting JMLR 2022