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cs.LG2024
Empirical evaluation of normalizing flows in Markov Chain Monte Carlo
David Nabergoj, Erik Štrumbelj
Recent advances in MCMC use normalizing flows to precondition target distributions and enable jumps to distant regions. However, there is currently no systematic comparison of diff…
stat.ML2024
Control, Transport and Sampling: Towards Better Loss Design
Qijia Jiang, David Nabergoj
Leveraging connections between diffusion-based sampling, optimal transport, and stochastic optimal control through their shared links to the Schrödinger bridge problem, we propose…