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Sample Complexity of Sinkhorn divergences

5 October 2018

Papers citing "Sample Complexity of Sinkhorn divergences"

50 / 141 papers shown

Title
AlignFlow: Improving Flow-based Generative Models with Semi-Discrete Optimal Transport Lingkai Kong Molei Tao Yang Liu Bryan Wang Jinmiao Fu Chien Wang Huidong Liu OT 239 0 0 16 Oct 2025
Simplifying Optimal Transport through Schatten- $p$ Regularization Tyler Maunu OT 180 0 0 13 Oct 2025
Differentially Private Wasserstein Barycenters Anming Gu Sasidhar Kunapuli Mark Bun Edward Chien Kristjan Greenewald OT 271 0 0 03 Oct 2025
E-ROBOT: a dimension-free method for robust statistics and machine learning via Schrödinger bridge Davide La Vecchia Hang Liu 106 0 0 15 Sep 2025
Differentiable Expectation-Maximisation and Applications to Gaussian Mixture Model Optimal Transport Samuel Boïté Eloi Tanguy J. Delon A. Desolneux Rémi Flamary OT 317 1 0 02 Sep 2025
Sparse Partial Optimal Transport via Quadratic RegularizationJournal of Computer Science (JCS), 2025 K. Tran K. Nguyen Anh Nguyen Thong Huynh Son Pham ... Manh Pham Bang Vo M. Tran Mai Ngoc Tran Dung Luong OT 102 0 0 11 Aug 2025
Leveraging Optimal Transport for Distributed Two-Sample Testing: An Integrated Transportation Distance-based Framework Zhengqi Lin Yan Chen OT 199 1 0 19 Jun 2025
On Fitting Flow Models with Large Sinkhorn Couplings Stephen Zhang Alireza Mousavi-Hosseini Stephen Zhang Marco Cuturi 282 5 0 05 Jun 2025
Neural Estimation for Scaling Entropic Multimarginal Optimal Transport Dor Tsur Ziv Goldfeld Kristjan Greenewald Haim Permuter 137 1 0 31 May 2025
Kernel Quantile Embeddings and Associated Probability Metrics Masha Naslidnyk Siu Lun Chau F. Briol Krikamol Muandet 287 1 0 26 May 2025
Distributionally Robust Deep Q-Learning Chung I Lu Julian Sester Aijia Zhang OOD 269 1 0 25 May 2025
Flow Matching Ergodic Coverage Max Muchen Sun Allison Pinosky Todd Murphey 197 1 0 24 Apr 2025
Exploiting Epistemic Uncertainty in Cold-Start Recommendation Systems Yang Xiang Li Fan Chenke Yin Menglin Kong Chengtao Ji OffRL 253 0 0 22 Feb 2025
Bandit Optimal Transport Lorenzo Croissant 260 0 0 11 Feb 2025
Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots Vincent Guan Joseph Janssen Hossein Rahmani Andrew Warren Stephen X. Zhang Elina Robeva Geoffrey Schiebinger DiffM 439 10 0 30 Oct 2024
The Benefits of Balance: From Information Projections to Variance ReductionNeural Information Processing Systems (NeurIPS), 2024 Lang Liu Ronak R. Mehta Soumik Pal Zaïd Harchaoui 281 0 0 27 Aug 2024
Strongly Isomorphic Neural Optimal Transport Across Incomparable Spaces Athina Sotiropoulou David Alvarez-Melis OT 206 2 0 20 Jul 2024
Progressive Entropic Optimal Transport SolversNeural Information Processing Systems (NeurIPS), 2024 Parnian Kassraie Aram-Alexandre Pooladian Stephen Zhang James Thornton Jonathan Niles-Weed Marco Cuturi OT 252 7 0 07 Jun 2024
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances Jie Wang M. Boedihardjo Yao Xie 380 3 0 24 May 2024
Neural Estimation Of Entropic Optimal Transport Tao Wang Ziv Goldfeld OT 240 3 0 10 May 2024
A Universal Metric of Dataset Similarity for Cross-silo Federated Learning Ahmed Elhussein Gamze Gürsoy FedML OOD 297 3 0 29 Apr 2024
Enhancing selectivity using Wasserstein distance based reweighing Pratik Worah OOD 228 0 0 21 Jan 2024
Balanced Marginal and Joint Distributional Learning via Mixture Cramer-Wold Distance SeungHwan An Sungchul Hong Jong-June Jeon 188 0 0 06 Dec 2023
Estimation of entropy-regularized optimal transport maps between non-compactly supported measures Matthew Werenski James M. Murphy Shuchin Aeron OT 222 4 0 20 Nov 2023
Sample Complexity Bounds for Estimating Probability Divergences under InvariancesInternational Conference on Machine Learning (ICML), 2023 B. Tahmasebi Stefanie Jegelka 250 9 0 06 Nov 2023
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel M. Khamlich F. Pichi G. Rozza 278 5 0 26 Aug 2023
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical ImagingIEEE Transactions on Medical Imaging (TMI), 2023 M. Valiuddin Christiaan Viviers R. V. Sloun Peter H. N. de With Fons van der Sommen UQCV 429 3 0 31 Jul 2023
Computational Guarantees for Doubly Entropic Wasserstein Barycenters via Damped Sinkhorn Iterations Lénaïc Chizat Tomas Vaskevicius 122 1 0 25 Jul 2023
Uniform Confidence Band for Optimal Transport Map on One-Dimensional DataElectronic Journal of Statistics (EJS), 2023 Donlapark Ponnoprat Ryotaro Okano Masaaki Imaizumi OT 196 2 0 18 Jul 2023
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients Mete Kemertas Allan D. Jepson Amir-massoud Farahmand OT 364 5 0 17 Jul 2023
Recent Advances in Optimal Transport for Machine LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OOD OT 217 66 0 28 Jun 2023
Lower Complexity Adaptation for Empirical Entropic Optimal Transport Michel Groppe Shayan Hundrieser OT 187 14 0 23 Jun 2023
Fitted value iteration methods for bicausal optimal transport Erhan Bayraktar Bingyan Han OT 227 10 0 22 Jun 2023
Minimum intrinsic dimension scaling for entropic optimal transport Austin J. Stromme 196 12 0 06 Jun 2023
Unbalanced Low-rank Optimal Transport SolversNeural Information Processing Systems (NeurIPS), 2023 M. Scetbon Stephen Zhang Giovanni Palla Marco Cuturi OT 195 6 0 31 May 2023
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust ModelsNeural Information Processing Systems (NeurIPS), 2023 Waïss Azizian F. Iutzeler J. Malick OOD 315 12 0 26 May 2023
Energy-guided Entropic Neural Optimal TransportInternational Conference on Learning Representations (ICLR), 2023 Petr Mokrov Alexander Korotin Alexander Kolesov Nikita Gushchin Evgeny Burnaev OT 538 27 0 12 Apr 2023
Doubly Regularized Entropic Wasserstein Barycenters Lénaïc Chizat 264 16 0 21 Mar 2023
The Monge Gap: A Regularizer to Learn All Transport MapsInternational Conference on Machine Learning (ICML), 2023 Théo Uscidda Marco Cuturi OT 183 34 0 09 Feb 2023
Sample Complexity of Probability Divergences under Group SymmetryInternational Conference on Machine Learning (ICML), 2023 Ziyu Chen Markos A. Katsoulakis Luc Rey-Bellet Weixia Zhu 413 14 0 03 Feb 2023
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free InferenceInternational Conference on Machine Learning (ICML), 2023 Ayush Bharti Masha Naslidnyk Oscar Key Samuel Kaski F. Briol 460 16 0 27 Jan 2023
Gromov-Wasserstein Distances: Entropic Regularization, Duality, and Sample ComplexityAnnals of Statistics (Ann. Stat.), 2022 Zhengxin Zhang Ziv Goldfeld Youssef Mroueh Bharath K. Sriperumbudur OT 295 24 0 25 Dec 2022
Unbalanced Optimal Transport, from Theory to Numerics Thibault Séjourné Gabriel Peyré Franccois-Xavier Vialard OT 249 59 0 16 Nov 2022
Budget-Constrained Bounds for Mini-Batch Estimation of Optimal Transport David Alvarez-Melis Nicolò Fusi Lester W. Mackey Tal Wagner OT 208 1 0 24 Oct 2022
Stability of Entropic Wasserstein Barycenters and application to random geometric graphs Marc Theveneau Nicolas Keriven 248 4 0 19 Oct 2022
Towards Explaining Distribution ShiftsInternational Conference on Machine Learning (ICML), 2022 Sean Kulinski David I. Inouye OffRL FAtt 289 34 0 19 Oct 2022
On the potential benefits of entropic regularization for smoothing Wasserstein estimatorsElectronic Journal of Statistics (EJS), 2022 Jérémie Bigot Paul Freulon B. Hejblum Arthur Leclaire OT 263 2 0 13 Oct 2022
Discovering Conservation Laws using Optimal Transport and Manifold LearningNature Communications (Nat Commun), 2022 Peter Y. Lu Rumen Dangovski M. Soljavcić 206 23 0 31 Aug 2022
Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn Divergence Ziv Goldfeld Kengo Kato Gabriel Rioux Ritwik Sadhu 217 31 0 18 Jul 2022
Weak limits of entropy regularized Optimal Transport; potentials, plans and divergences Alberto González Sanz Jean-Michel Loubes Jonathan Niles-Weed OT 217 29 0 15 Jul 2022