Tuning-free Sampling via Optimization on the Space of Probability Measures
Blog post on FUSE, an adaptive learning-rate-free approach to gradient-based sampling.
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
Blog post on NeurIPS 2024 paper - Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
Why Should We Care About Gradient Flows?
Blog post on gradient flows in Euclidean and Wasserstein spaces.
Using coins to make Bayesian inference learning-rate free
Blog post on Coin Sampling, a learning-rate-free approach to gradient-based Bayesian inference.