stat.ML · 2026-05-23 · No. 8

Machine Learning, 2026-05-23.

1 new papers in stat.ML. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Models

    Krishnakumar Balasubramanian

    stat.ML · cs.AI · cs.LG · math.ST

    We propose and analyze a conservative drifting method for one-step generative modeling. The method replaces the original displacement-based drifting velocity by a kernel density estimator (KDE)-gradient velocity, namely the difference of the kernel-smoothed data score and the kernel-smoothed model score. This velocity is a gradient field, addressing the non-conservatism issue identified for general displacement-based drifting fields. We prove...

    arxiv.org/abs/2605.22795 · PDF

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