arXiv (All)
open access
From Tsallis to KL: Convergence and Error Estimates for Tsallis-Regularized Optimal Transport
We study the Tsallis-to-Kullback--Leibler (KL) limit for entropy-regularized optimal transport with nonnegative bounded continuous costs. Fixing the regularization parameter $\varepsilon > 0$, we first derive an exact variational reformulation of Tsallis-regularized optimal transport in terms of the
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Geometry and Convergence of Quadratically Regularized Optimal Transport I#1034220
- Quantitative convergence of a discretization of dynamic optimal transport using the dual formulation#418070
- Geometry and Convergence of Quadratically Regularized Optimal Transport II#1157425
- The entropic optimal (self-)transport problem: Limit distributions for decreasing regularization with application to score function estimation#179101
- MMD-Regularized Unbalanced Optimal Transport#1037641
Record · ID 974009
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive