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Sample Complexity of Sinkhorn divergences

5 October 2018

Papers citing "Sample Complexity of Sinkhorn divergences"

41 / 141 papers shown

Title
Statistical guarantees for generative models without dominationInternational Conference on Algorithmic Learning Theory (ALT), 2020 Nicolas Schreuder Victor-Emmanuel Brunel A. Dalalyan GAN 223 39 0 19 Oct 2020
Information Constrained Optimal Transport: From Talagrand, to Marton, to Cover Yikun Bai Xiugang Wu Ayfer Özgür OT 128 25 0 24 Aug 2020
Polynomial-time algorithms for Multimarginal Optimal Transport problems with structureMathematical programming (Math. Program.), 2020 Jason M. Altschuler Enric Boix-Adserà 282 34 0 07 Aug 2020
Generalization Properties of Optimal Transport GANs with Latent Distribution Learning Giulia Luise Massimiliano Pontil C. Ciliberto GAN OT 156 21 0 29 Jul 2020
Sinkhorn Barycenter via Functional Gradient Descent Zebang Shen Zhenfu Wang Alejandro Ribeiro Hamed Hassani 146 10 0 20 Jul 2020
Estimating Barycenters of Measures in High Dimensions Samuel N. Cohen Michael Arbel M. Deisenroth 306 25 0 14 Jul 2020
GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models Farzan Farnia William Wang Subhro Das Ali Jadbabaie GAN 161 8 0 18 Jun 2020
Augmented Sliced Wasserstein Distances Xiongjie Chen Yongxin Yang Yunpeng Li 297 21 0 15 Jun 2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport Tianlin Xu L. Wenliang Michael Munn Beatrice Acciaio GAN CML 163 121 0 15 Jun 2020
Projection Robust Wasserstein Distance and Riemannian OptimizationNeural Information Processing Systems (NeurIPS), 2020 Tianyi Lin Chenyou Fan Nhat Ho Marco Cuturi Sai Li 596 77 0 12 Jun 2020
Equitable and Optimal Transport with Multiple Agents M. Scetbon Laurent Meunier Jamal Atif Marco Cuturi OT 137 2 0 12 Jun 2020
Linear Time Sinkhorn Divergences using Positive FeaturesNeural Information Processing Systems (NeurIPS), 2020 M. Scetbon Marco Cuturi 205 27 0 12 Jun 2020
End-to-end Sinkhorn Autoencoder with Noise GeneratorIEEE Access (IEEE Access), 2020 Kamil Deja Jan Dubiñski Piotr W. Nowak S. Wenzel Tomasz Trzciñski SyDa 89 28 0 11 Jun 2020
The statistical effect of entropic regularization in optimal transportation E. del Barrio Jean-Michel Loubes OT 161 23 0 09 Jun 2020
Entropy-Regularized $2$ -Wasserstein Distance between Gaussian Measures Anton Mallasto Augusto Gerolin H. Q. Minh 200 62 0 05 Jun 2020
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed FormNeural Information Processing Systems (NeurIPS), 2020 H. Janati Boris Muzellec Gabriel Peyré Marco Cuturi OT 275 93 0 03 Jun 2020
Synchronizing Probability Measures on Rotations via Optimal TransportComputer Vision and Pattern Recognition (CVPR), 2020 Tolga Birdal Michael Arbel Umut Simsekli Leonidas Guibas OT 144 31 0 01 Apr 2020
Statistical and Topological Properties of Sliced Probability DivergencesNeural Information Processing Systems (NeurIPS), 2020 Kimia Nadjahi Alain Durmus Lénaïc Chizat Soheil Kolouri Shahin Shahrampour Umut Simsekli 187 94 0 12 Mar 2020
Regularized Optimal Transport is Ground Cost AdversarialInternational Conference on Machine Learning (ICML), 2020 Franccois-Pierre Paty Marco Cuturi OT AAML OOD 232 32 0 10 Feb 2020
CO-Optimal TransportNeural Information Processing Systems (NeurIPS), 2020 Ivegen Redko Titouan Vayer Rémi Flamary Nicolas Courty OT 207 73 0 10 Feb 2020
Statistical Optimal Transport posed as Learning Kernel EmbeddingNeural Information Processing Systems (NeurIPS), 2020 SakethaNath Jagarlapudi Pratik Jawanpuria OT 180 17 0 08 Feb 2020
Geometric Dataset Distances via Optimal TransportNeural Information Processing Systems (NeurIPS), 2020 David Alvarez-Melis Nicolò Fusi OT 227 234 0 07 Feb 2020
Gaussian-Smooth Optimal Transport: Metric Structure and Statistical EfficiencyInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Ziv Goldfeld Kristjan Greenewald OT 154 45 0 24 Jan 2020
Stochastic Approximation versus Sample Average Approximation for population Wasserstein barycenters D. Dvinskikh 203 11 0 21 Jan 2020
Informative GANs via Structured Regularization of Optimal Transport Pierre Bréchet Tao Wu Thomas Möllenhoff Zorah Lähner OT 82 0 0 04 Dec 2019
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic SpacesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 David Alvarez-Melis Youssef Mroueh Tommi Jaakkola OT 196 26 0 06 Nov 2019
Sinkhorn Divergences for Unbalanced Optimal Transport Thibault Séjourné Jean Feydy Franccois-Xavier Vialard A. Trouvé Gabriel Peyré OT 305 82 0 28 Oct 2019
Differentiable Deep Clustering with Cluster Size Constraints Aude Genevay Gabriel Dulac-Arnold Jean-Philippe Vert 175 42 0 20 Oct 2019
Learning with minibatch Wasserstein : asymptotic and gradient propertiesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Kilian Fatras Younes Zine Rémi Flamary Rémi Gribonval Nicolas Courty OT 230 101 0 09 Oct 2019
How Well Do WGANs Estimate the Wasserstein Metric? Anton Mallasto Guido Montúfar Augusto Gerolin 97 26 0 09 Oct 2019
Hierarchical Optimal Transport for Multimodal Distribution AlignmentNeural Information Processing Systems (NeurIPS), 2019 John Lee M. Dabagia Eva L. Dyer Christopher Rozell OT 141 74 0 27 Jun 2019
Statistical Inference for Generative Models with Maximum Mean Discrepancy François‐Xavier Briol Alessandro Barp Andrew B. Duncan Mark Girolami 215 78 0 13 Jun 2019
Sinkhorn Barycenters with Free Support via Frank-Wolfe AlgorithmNeural Information Processing Systems (NeurIPS), 2019 Giulia Luise Saverio Salzo Massimiliano Pontil C. Ciliberto 159 69 0 30 May 2019
Statistical bounds for entropic optimal transport: sample complexity and the central limit theoremNeural Information Processing Systems (NeurIPS), 2019 Gonzalo E. Mena Jonathan Niles-Weed OT 226 183 0 28 May 2019
Utility/Privacy Trade-off through the lens of Optimal TransportInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Etienne Boursier Vianney Perchet 294 8 0 27 May 2019
Subspace Detours: Building Transport Plans that are Optimal on Subspace ProjectionsNeural Information Processing Systems (NeurIPS), 2019 Boris Muzellec Marco Cuturi OT 271 33 0 24 May 2019
Learning Embeddings into Entropic Wasserstein SpacesInternational Conference on Learning Representations (ICLR), 2019 Charlie Frogner F. Mirzazadeh Justin Solomon 130 34 0 08 May 2019
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine Brian Coyle Daniel Mills V. Danos E. Kashefi 433 171 0 03 Apr 2019
Subspace Robust Wasserstein Distances François-Pierre Paty Marco Cuturi 400 169 0 25 Jan 2019
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 1.1K 2,397 0 01 Mar 2018
Central limit theorems for entropy-regularized optimal transport on finite spaces and statistical applications Jérémie Bigot Elsa Cazelles Nicolas Papadakis OT 199 42 0 24 Nov 2017