most citedWhen does Metropolized Hamiltonian Monte Carlo provably outperform Metropolis-adjusted Langevin algorithm?

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stat.ML2025

Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms

Keru Wu, Yuansi Chen, Wooseok Ha +1

Domain adaptation (DA) is a statistical learning problem that arises when the distribution of the source data used to train a model differs from that of the target data used to eva…