Signals 4 · free daily AI digest

Statistical Rates for Entropic Optimal Transport in the Discrete to SubGaussian Regime

Paper recorded by Signals 4 on 2026-09-22 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-22 on arXiv · recorded by Signals 4 on 2026-09-23

Category: cs.LG · 机器学习 · first seen 2026-09-23

Abstract

We study statistical rates in entropic optimal transport in the semi-discrete regime where one measure has finite support and the other is subGaussian. Our main result establishes parametric convergence rates for the empirical dual potentials to their population counterparts, with no dimension dependence in the leading term. Our result relies on tailored strong concavity analysis of the semi-dual

Read on arXiv →

#10 most recent of 263 cs.LG papers we have recorded · ↑ newer: Discovery-Driven Integration of Disjoint Tables via Text · ↓ older: Label-Efficient Learning for Ground-Based Sky-Image Classification: A
Cite this page: Statistical Rates for Entropic Optimal Transport in the Discrete to SubGaussian Regime: the #10 most recent of 263 cs.LG papers we have recorded (as of 2026-09-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/statistical-rates-for-entropic-optimal-transport-in-the-discrete-to-subgaussian-.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.LG papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions