Showing 1–18 of 18 results
/ Date/ Name
Jul 6, 2025A note on the unique properties of the Kullback--Leibler divergence for sampling via gradient flowsJul 26, 2017Markov Chain Monte Carlo sampling for conditional tests: A link between permutation tests and algebraic statisticsMar 23, 2023Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood EstimationApr 22, 2026Properties and limitations of geometric tempering for gradient flow dynamicsNov 22, 2025An operator splitting analysis of Wasserstein--Fisher--Rao gradient flowsFeb 23, 2021Product-form estimators: exploiting independence to scale up Monte CarloOct 18, 2023A connection between Tempering and Entropic Mirror DescentJan 27, 2025A mirror descent approach to maximum likelihood estimation in latent variable modelsNov 25, 2022A divide and conquer sequential Monte Carlo approach to high dimensional filteringSep 21, 2020A Particle Method for Solving Fredholm Equations of the First KindJun 6, 2025Sequential Monte Carlo approximations of Wasserstein--Fisher--Rao gradient flowsMar 6, 2023Properties of Marginal Sequential Monte Carlo MethodsSep 16, 2022Solving Fredholm Integral Equations of the First Kind via Wasserstein Gradient FlowsJan 6, 2023Optimal Scaling Results for Moreau-Yosida Metropolis-adjusted Langevin AlgorithmsMar 29, 2024Towards a turnkey approach to unbiased Monte Carlo estimation of smooth functions of expectationsJun 20, 2024Proximal Interacting Particle Langevin AlgorithmsOct 29, 2021The divide-and-conquer sequential Monte Carlo algorithm: theoretical properties and limit theoremsSep 29, 2024Solving Fredholm Integral Equations of the Second Kind via Wasserstein Gradient Flows