Co-occurring keywords · papers mentioning both
Papers
Sampling in High-Dimensions using Stochastic Interpolants and Forward-Backward Stochastic Differential Equations
AISTATS 2025
Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions
JMLR 2024
Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee
NeurIPS 2023
Improving multiple-try Metropolis with local balancing
JMLR 2023
Efficient computation of the the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes
AISTATS 2022
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space
NeurIPS 2022
Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler
JMLR 2021
Random Coordinate Langevin Monte Carlo
COLT 2021
Random Coordinate Underdamped Langevin Monte Carlo
AISTATS 2021
Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes
AISTATS 2020
Nested Sequential Monte Carlo Methods
ICML 2015