10 citations · 12 across the 8 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2024
Deterministic Fokker-Planck Transport -- With Applications to Sampling, Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo
Ilja Klebanov
The Fokker-Planck equation can be reformulated as a continuity equation, which naturally suggests using the associated velocity field in particle flow methods. While the resulting…
stat.ML2018
Markov Chain Importance Sampling -- a highly efficient estimator for MCMC
Ingmar Schuster, Ilja Klebanov
Markov chain (MC) algorithms are ubiquitous in machine learning and statistics and many other disciplines. Typically, these algorithms can be formulated as acceptance rejection met…