Sparsistency for Inverse Optimal Transport
Fuente:
arXiv
Saved in:
| Main Authors: | Andrade, Francisco, Peyre, Gabriel, Poon, Clarice |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning from Samples: Inverse Problems over measures via Sharpened Fenchel-Young Losses
by: Andrade, Francisco, et al.
Published: (2025)
by: Andrade, Francisco, et al.
Published: (2025)
Optimal Transport under Group Fairness Constraints
by: Bleistein, Linus, et al.
Published: (2026)
by: Bleistein, Linus, et al.
Published: (2026)
On the Optimality of Functional Sliced Inverse Regression
by: Chen, Rui, et al.
Published: (2023)
by: Chen, Rui, et al.
Published: (2023)
Decision-Focused Optimal Transport
by: Liu, Suhan, et al.
Published: (2026)
by: Liu, Suhan, et al.
Published: (2026)
Generalized Optimal Transport
by: Voronin, Andrei
Published: (2025)
by: Voronin, Andrei
Published: (2025)
Neural Estimation Of Entropic Optimal Transport
by: Wang, Tao, et al.
Published: (2024)
by: Wang, Tao, et al.
Published: (2024)
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
by: Rioux, Gabriel, et al.
Published: (2024)
by: Rioux, Gabriel, et al.
Published: (2024)
Neural Entropic Optimal Transport and Gromov-Wasserstein Alignment
by: Wang, Tao, et al.
Published: (2023)
by: Wang, Tao, et al.
Published: (2023)
Optimal-Transport Based Multivariate Goodness-of-Fit Tests
by: Hlávka, Zdeněk, et al.
Published: (2025)
by: Hlávka, Zdeněk, et al.
Published: (2025)
On the global convergence of gradient descent for wide shallow models with bounded nonlinearities
by: Petit, Romain, et al.
Published: (2026)
by: Petit, Romain, et al.
Published: (2026)
Curvature of optimal transport with respect to the cost and applications to inverse optimal transport
by: Peyré, Gabriel, et al.
Published: (2026)
by: Peyré, Gabriel, et al.
Published: (2026)
Constrained Denoising, Empirical Bayes, and Optimal Transport
by: Jaffe, Adam Quinn, et al.
Published: (2025)
by: Jaffe, Adam Quinn, et al.
Published: (2025)
Optimal Transport with Heterogeneously Missing Data
by: Bleistein, Linus, et al.
Published: (2025)
by: Bleistein, Linus, et al.
Published: (2025)
Estimation of Stochastic Optimal Transport Maps
by: Nietert, Sloan, et al.
Published: (2025)
by: Nietert, Sloan, et al.
Published: (2025)
Bayesian Sphere-on-Sphere Regression with Optimal Transport Maps
by: Ng, Tin Lok James, et al.
Published: (2025)
by: Ng, Tin Lok James, et al.
Published: (2025)
k-Sample inference via Multimarginal Optimal Transport
by: Kravtsova, Natalia
Published: (2025)
by: Kravtsova, Natalia
Published: (2025)
General Divergence Regularized Optimal Transport: Sample Complexity and Central Limit Theorems
by: Yang, Jiaping, et al.
Published: (2025)
by: Yang, Jiaping, et al.
Published: (2025)
Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
by: Ponnoprat, Donlapark, et al.
Published: (2026)
by: Ponnoprat, Donlapark, et al.
Published: (2026)
Sharp Convergence Rates for Empirical Optimal Transport with Smooth Costs
by: Manole, Tudor, et al.
Published: (2021)
by: Manole, Tudor, et al.
Published: (2021)
Plugin Estimation of Smooth Optimal Transport Maps
by: Manole, Tudor, et al.
Published: (2021)
by: Manole, Tudor, et al.
Published: (2021)
Weak limits of entropy regularized Optimal Transport; potentials, plans and divergences
by: Gonzalez-Sanz, Alberto, et al.
Published: (2022)
by: Gonzalez-Sanz, Alberto, et al.
Published: (2022)
Optimal Transport for Machine Learners
by: Peyré, Gabriel
Published: (2025)
by: Peyré, Gabriel
Published: (2025)
$L^2$ over Wasserstein: Statistical Analysis for Optimal Transport
by: Passeggeri, Riccardo, et al.
Published: (2026)
by: Passeggeri, Riccardo, et al.
Published: (2026)
Optimal Transportation and Alignment Between Gaussian Measures
by: Dandapanthula, Sanjit, et al.
Published: (2025)
by: Dandapanthula, Sanjit, et al.
Published: (2025)
Optimal Experimental Design for Large-Scale Inverse Problems via Multi-PDE-constrained Optimization
by: Petrocchi, Andrea, et al.
Published: (2024)
by: Petrocchi, Andrea, et al.
Published: (2024)
Optimal and Diffusion Transports in Machine Learning
by: Peyré, Gabriel
Published: (2025)
by: Peyré, Gabriel
Published: (2025)
Central Limit Theorems for Smooth Optimal Transport Maps
by: Manole, Tudor, et al.
Published: (2023)
by: Manole, Tudor, et al.
Published: (2023)
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm
by: Xia, Xintao, et al.
Published: (2024)
by: Xia, Xintao, et al.
Published: (2024)
Multifractal Analysis of the Sinkhorn Algorithm: Unveiling the Intricate Structure of Optimal Transport Maps
by: Mena, Jose Rafael Espinosa
Published: (2024)
by: Mena, Jose Rafael Espinosa
Published: (2024)
Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate
by: Genans, Ferdinand, et al.
Published: (2025)
by: Genans, Ferdinand, et al.
Published: (2025)
An Optimal Transport Approach to Estimating Causal Effects via Nonlinear Difference-in-Differences
by: Torous, William, et al.
Published: (2021)
by: Torous, William, et al.
Published: (2021)
Sinkhorn Treatment Effects: A Causal Optimal Transport Measure
by: Agarwal, Medha, et al.
Published: (2026)
by: Agarwal, Medha, et al.
Published: (2026)
Stability Bounds for Smooth Optimal Transport Maps and their Statistical Implications
by: Balakrishnan, Sivaraman, et al.
Published: (2025)
by: Balakrishnan, Sivaraman, et al.
Published: (2025)
Inverse regression for spatially distributed functional data
by: Chatla, Suneel Babu, et al.
Published: (2024)
by: Chatla, Suneel Babu, et al.
Published: (2024)
Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasets
by: Landa, Boris, et al.
Published: (2024)
by: Landa, Boris, et al.
Published: (2024)
A New Perspective On Denoising Based On Optimal Transport
by: Trillos, Nicolas Garcia, et al.
Published: (2023)
by: Trillos, Nicolas Garcia, et al.
Published: (2023)
Error Analysis of Triangular Optimal Transport Maps for Filtering
by: Al-Jarrah, Mohammad, et al.
Published: (2025)
by: Al-Jarrah, Mohammad, et al.
Published: (2025)
Bridging Maximum Likelihood and Optimal Transport for Efficient Inference and Model Selection in Stochastic Block Models
by: Queric, Simon, et al.
Published: (2026)
by: Queric, Simon, et al.
Published: (2026)
Beyond Uncertainty Sets: Leveraging Optimal Transport to Extend Conformal Predictive Distribution to Multivariate Settings
by: Ndiaye, Eugene
Published: (2025)
by: Ndiaye, Eugene
Published: (2025)
On Elliptical and Inverse Elliptical Wishart distributions
by: Ayadi, Imen, et al.
Published: (2024)
by: Ayadi, Imen, et al.
Published: (2024)
Similar Items
-
Learning from Samples: Inverse Problems over measures via Sharpened Fenchel-Young Losses
by: Andrade, Francisco, et al.
Published: (2025) -
Optimal Transport under Group Fairness Constraints
by: Bleistein, Linus, et al.
Published: (2026) -
On the Optimality of Functional Sliced Inverse Regression
by: Chen, Rui, et al.
Published: (2023) -
Decision-Focused Optimal Transport
by: Liu, Suhan, et al.
Published: (2026) -
Generalized Optimal Transport
by: Voronin, Andrei
Published: (2025)