Entropic Optimal Transport: Convergence of Potentials
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Abstract (arXiv)
We study the potential functions that determine the optimal density for varepsilon-entropically regularized optimal transport, the so-called Schr"odinger potentials, and their convergence to the counterparts in classical optimal transport, the Kantorovich potentials. In the limit varepsilon→0 of vanishing regularization, strong compactness holds in L1 and cluster points are Kantorovich potentials. In particular, the Schr"odinger potentials converge in L1 to the Kantorovich potentials as soon as the latter are unique. These results are proved for all continuous, integrable cost functions on Polish spaces. In the language of Schr"odinger bridges, the limit corresponds to the small-noise regime.
Key facts. Cited by 30 papers in the map (data through 13 Oct 2026). First posted on arXiv 23 Apr 2021.
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Citing papers per year: 2021: 4; 2022: 3; 2023: 6; 2024: 5; 2025: 8; 2026: 4.
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- 2021Entropic estimation of optimal transport mapscited by 88
- 2023LAVA: Data Valuation without Pre-Specified Learning Algorithmscited by 69
- 2023Minimax estimation of discontinuous optimal transport maps: The semi-discrete casecited by 20
- 2026One-Step Generative Modeling via Wasserstein Gradient Flowscited by 20
- 2022An improved central limit theorem and fast convergence rates for entropic transportation costscited by 18
- 2023Lower Complexity Adaptation for Empirical Entropic Optimal Transportcited by 12
- 2022Convergence Rates for Regularized Optimal Transport via Quantizationcited by 11
- 2023Wasserstein Mirror Gradient Flow as the limit of the Sinkhorn Algorithmcited by 10
- 2024Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier mapscited by 9
- 2023Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithmcited by 8
- 2024Plug-in estimation of Schr"odinger bridgescited by 8
- 2021Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transportcited by 5
18 more
- 2021Matching for causal effects via multimarginal unbalanced optimal transportcited by 4
- 2024A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn's algorithmcited by 4
- 2022Wasserstein Distributionally Robust Optimization with Wasserstein Barycenterscited by 3
- 2024Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasetscited by 3
- 2025Schr"odinger bridge for generative AI: Soft-constrained formulation and convergence analysiscited by 2
- 2023Sinkhorn Flow: A Continuous-Time Framework for Understanding and Generalizing the Sinkhorn Algorithmcited by 1
- 2025Statistical Inference for Optimal Transport Maps: Recent Advances and Perspectivescited by 1
- 2025Hierarchical Maximum Entropy via the Renormalization Groupcited by 1
- 2026Geometric Regularization for Long-Tailed Semi-Supervised Learning via Gaussian Feature Bridgescited by 1
- 2021Estimation of Stationary Optimal Transport Planscited by 0
- 2024Semi-Discrete Optimal Transport: Nearly Minimax Estimation With Stochastic Gradient Descent and Adaptive Entropic Regularizationcited by 0
- 2025Hessian stability and convergence rates for entropic and Sinkhorn potentials via semiconcavitycited by 0
- 2025Langevin Diffusion Approximation to Same Marginal Schr"odinger Bridgecited by 0
- 2025Designing Algorithms for Entropic Optimal Transport from an Optimisation Perspectivecited by 0
- 2025E-ROBOT: a dimension-free method for robust statistics and machine learning via Schr"odinger bridgecited by 0
- 2025Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transportcited by 0
- 2026Multimodal Alignment Through Joint Kernel Entropic Gromov--Wasserstein Optimal Transportcited by 0
- 2026Uniform Statistical Convergence of Empirical Sinkhorn Potentials with Exponential and Polynomial Dependence on the Regularization Parametercited by 0
- 2026Uniform Statistical Convergence of Empirical Sinkhorn Potentials with Exponential and Polynomial Dependence on the Regularization Parameter29 Aug 2026
- 2026Geometric Regularization for Long-Tailed Semi-Supervised Learning via Gaussian Feature Bridges21 Aug 2026
- 2026Multimodal Alignment Through Joint Kernel Entropic Gromov--Wasserstein Optimal Transport4 Aug 2026
- 2026One-Step Generative Modeling via Wasserstein Gradient Flows12 May 2026
- 2025Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport31 Oct 2025
- 2025Schr"odinger bridge for generative AI: Soft-constrained formulation and convergence analysis13 Oct 2025
- 2025E-ROBOT: a dimension-free method for robust statistics and machine learning via Schr"odinger bridge15 Sep 2025
- 2025Hierarchical Maximum Entropy via the Renormalization Group1 Sep 2025
- 2025Designing Algorithms for Entropic Optimal Transport from an Optimisation Perspective16 Jul 2025
- 2025Statistical Inference for Optimal Transport Maps: Recent Advances and Perspectives23 Jun 2025
- 2025Langevin Diffusion Approximation to Same Marginal Schr"odinger Bridge12 May 2025
- 2025Hessian stability and convergence rates for entropic and Sinkhorn potentials via semiconcavity15 Apr 2025
18 more
- 2024A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn's algorithm12 Dec 2024
- 2024Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps11 Nov 2024
- 2024Plug-in estimation of Schr"odinger bridges21 Aug 2024
- 2024Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasets1 Jul 2024
- 2024Semi-Discrete Optimal Transport: Nearly Minimax Estimation With Stochastic Gradient Descent and Adaptive Entropic Regularization23 May 2024
- 2023Sinkhorn Flow: A Continuous-Time Framework for Understanding and Generalizing the Sinkhorn Algorithm28 Nov 2023
- 2023Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithm7 Nov 2023
- 2023Wasserstein Mirror Gradient Flow as the limit of the Sinkhorn Algorithm31 Jul 2023
- 2023Lower Complexity Adaptation for Empirical Entropic Optimal Transport23 Jun 2023
- 2023LAVA: Data Valuation without Pre-Specified Learning Algorithms28 Apr 2023
- 2023Minimax estimation of discontinuous optimal transport maps: The semi-discrete case26 Jan 2023
- 2022Convergence Rates for Regularized Optimal Transport via Quantization30 Aug 2022
- 2022An improved central limit theorem and fast convergence rates for entropic transportation costs19 Apr 2022
- 2022Wasserstein Distributionally Robust Optimization with Wasserstein Barycenters23 Mar 2022
- 2021Matching for causal effects via multimarginal unbalanced optimal transport8 Dec 2021
- 2021Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport25 Oct 2021
- 2021Entropic estimation of optimal transport maps24 Sep 2021
- 2021Estimation of Stationary Optimal Transport Plans25 Jul 2021
- 2026One-Step Generative Modeling via Wasserstein Gradient Flowscited by 20
- 2026One-Step Generative Modeling via Wasserstein Gradient Flows12 May 2026
- 2021Entropic estimation of optimal transport mapscited by 88
- 2023LAVA: Data Valuation without Pre-Specified Learning Algorithmscited by 69
- 2023Minimax estimation of discontinuous optimal transport maps: The semi-discrete casecited by 20
- 2022An improved central limit theorem and fast convergence rates for entropic transportation costscited by 18
- 2023Lower Complexity Adaptation for Empirical Entropic Optimal Transportcited by 12
- 2022Convergence Rates for Regularized Optimal Transport via Quantizationcited by 11
- 2023Wasserstein Mirror Gradient Flow as the limit of the Sinkhorn Algorithmcited by 10
- 2024Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier mapscited by 9
- 2023Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithmcited by 8
- 2024Plug-in estimation of Schr"odinger bridgescited by 8
- 2021Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transportcited by 5
- 2021Matching for causal effects via multimarginal unbalanced optimal transportcited by 4
12 most cited of 29 All 29 (JSON)
- 2026Uniform Statistical Convergence of Empirical Sinkhorn Potentials with Exponential and Polynomial Dependence on the Regularization Parameter29 Aug 2026
- 2026Geometric Regularization for Long-Tailed Semi-Supervised Learning via Gaussian Feature Bridges21 Aug 2026
- 2026Multimodal Alignment Through Joint Kernel Entropic Gromov--Wasserstein Optimal Transport4 Aug 2026
- 2025Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport31 Oct 2025
- 2025Schr"odinger bridge for generative AI: Soft-constrained formulation and convergence analysis13 Oct 2025
- 2025E-ROBOT: a dimension-free method for robust statistics and machine learning via Schr"odinger bridge15 Sep 2025
- 2025Hierarchical Maximum Entropy via the Renormalization Group1 Sep 2025
- 2025Designing Algorithms for Entropic Optimal Transport from an Optimisation Perspective16 Jul 2025
- 2025Statistical Inference for Optimal Transport Maps: Recent Advances and Perspectives23 Jun 2025
- 2025Langevin Diffusion Approximation to Same Marginal Schr"odinger Bridge12 May 2025
- 2025Hessian stability and convergence rates for entropic and Sinkhorn potentials via semiconcavity15 Apr 2025
- 2024A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn's algorithm12 Dec 2024
12 newest of 29 All 29 (JSON)