Quantitative contraction rates for Sinkhorn's algorithm: beyond bounded costs and compact marginals
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Abstract (arXiv)
We show non-asymptotic exponential convergence of Sinkhorn iterates to the Schr"odinger potentials, solutions of the quadratic Entropic Optimal Transport problem on ℝ^ d. Our results hold under mild assumptions on the marginal inputs: in particular, we only assume that they admit an asymptotically positive log-concavity profile, covering as special cases log-concave distributions and bounded smooth perturbations of quadratic potentials. Up to the authors' knowledge, these are the first results which establish exponential convergence of Sinkhorn's algorithm in a general setting without assuming bounded cost functions or compactly supported marginals.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Apr 2023.
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Citing papers per year: 2023: 4; 2024: 2; 2025: 5; 2026: 2.
13 papers.
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- 2023Provably Convergent Schr"odinger Bridge with Applications to Probabilistic Time Series Imputationcited by 26
- 2023Projected Langevin dynamics and a gradient flow for entropic optimal transportcited by 17
- 2025Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradientscited by 15
- 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
- 2023Non-asymptotic convergence bounds for Sinkhorn iterates and their gradients: a coupling approachcited by 7
- 2024A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn's algorithmcited by 4
- 2025Exponential Convergence Guarantees for Iterative Markovian Fittingcited by 3
- 2025Variational Online Mirror Descent for Robust Learning in Schr"odinger Bridgecited by 2
- 2026Robust Sublinear Convergence Rates for Iterative Bregman Projectionscited by 1
- 2025Hessian stability and convergence rates for entropic and Sinkhorn potentials via semiconcavitycited by 0
- 2025Thermodynamic structure of the Sinkhorn flowcited by 0
1 more
- 2026Schr"odinger bridge problem via empirical risk minimization9 Feb 2026
- 2026Robust Sublinear Convergence Rates for Iterative Bregman Projections1 Feb 2026
- 2025Exponential Convergence Guarantees for Iterative Markovian Fitting23 Oct 2025
- 2025Thermodynamic structure of the Sinkhorn flow14 Oct 2025
- 2025Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients6 May 2025
- 2025Hessian stability and convergence rates for entropic and Sinkhorn potentials via semiconcavity15 Apr 2025
- 2025Variational Online Mirror Descent for Robust Learning in Schr"odinger Bridge3 Apr 2025
- 2024A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn's algorithm12 Dec 2024
- 2024Plug-in estimation of Schr"odinger bridges21 Aug 2024
- 2023Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithm7 Nov 2023
- 2023Projected Langevin dynamics and a gradient flow for entropic optimal transport15 Sep 2023
- 2023Provably Convergent Schr"odinger Bridge with Applications to Probabilistic Time Series Imputation12 May 2023
- 2023Projected Langevin dynamics and a gradient flow for entropic optimal transportcited by 17
- 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
- 2023Non-asymptotic convergence bounds for Sinkhorn iterates and their gradients: a coupling approachcited by 7
- 2024A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn's algorithmcited by 4
- 2025Exponential Convergence Guarantees for Iterative Markovian Fittingcited by 3
- 2025Variational Online Mirror Descent for Robust Learning in Schr"odinger Bridgecited by 2
- 2026Robust Sublinear Convergence Rates for Iterative Bregman Projectionscited by 1
- 2025Hessian stability and convergence rates for entropic and Sinkhorn potentials via semiconcavitycited by 0
- 2025Thermodynamic structure of the Sinkhorn flowcited by 0
- 2026Schr"odinger bridge problem via empirical risk minimizationcited by 0
- 2026Schr"odinger bridge problem via empirical risk minimization9 Feb 2026
- 2026Robust Sublinear Convergence Rates for Iterative Bregman Projections1 Feb 2026
- 2025Exponential Convergence Guarantees for Iterative Markovian Fitting23 Oct 2025
- 2025Thermodynamic structure of the Sinkhorn flow14 Oct 2025
- 2025Hessian stability and convergence rates for entropic and Sinkhorn potentials via semiconcavity15 Apr 2025
- 2025Variational Online Mirror Descent for Robust Learning in Schr"odinger Bridge3 Apr 2025
- 2024A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn's algorithm12 Dec 2024
- 2024Plug-in estimation of Schr"odinger bridges21 Aug 2024
- 2023Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithm7 Nov 2023
- 2023Projected Langevin dynamics and a gradient flow for entropic optimal transport15 Sep 2023
- 2023Non-asymptotic convergence bounds for Sinkhorn iterates and their gradients: a coupling approach13 Apr 2023