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entropic optimal transport 1generalized bayes 1hamiltonian monte carlo 1simulation-based inference 1sinkhorn divergence 1unbalanced transport 1

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stat.CO2026

Sinkhorn Hamiltonian Monte Carlo for Entropic Optimal Transport Generalized Bayes

Guilhem Nespoulous, Fr{é}d{é}ric Bertrand, Myriam Maumy +1

The paper proposes using entropically regularized Sinkhorn divergences as loss functions in generalized Bayesian inference for Hamiltonian Monte Carlo and NUTS, providing heuristic…