Stochastic Optimization for Large-scale Optimal Transport

27 May 2016

Papers citing "Stochastic Optimization for Large-scale Optimal Transport"

50 / 102 papers shown

Title
A Survey on Optimal Transport for Machine Learning: Theory and Applications Luis Caicedo Torres Luiz Manella Pereira M. Amini OOD OT 36 47 0 03 Jun 2021
Partial Wasserstein Covering Keisuke Kawano Satoshi Koide Keisuke Otaki 33 3 0 02 Jun 2021
Re-evaluating Word Mover's Distance Ryoma Sato M. Yamada H. Kashima 36 23 0 30 May 2021
A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions Guillaume Staerman Pavlo Mozharovskyi Pierre Colombo Stéphan Clémenccon Florence dÁlché-Buc OOD 69 17 0 23 Mar 2021
Efficient Discretizations of Optimal Transport Junqi Wang Pei Wang Patrick Shafto OT 19 0 0 16 Feb 2021
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization Alexander Korotin Lingxiao Li Justin Solomon Evgeny Burnaev 22 48 0 02 Feb 2021
Smooth $p$ -Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications Sloan Nietert Ziv Goldfeld Kengo Kato 46 30 0 11 Jan 2021
Fairness with Continuous Optimal Transport Silvia Chiappa Aldo Pacchiano OT 42 12 0 06 Jan 2021
Minibatch optimal transport distances; analysis and applications Kilian Fatras Younes Zine Szymon Majewski Rémi Flamary Rémi Gribonval Nicolas Courty OT 79 54 0 05 Jan 2021
Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings M. H. Quang 64 5 0 05 Jan 2021
Entropy-regularized optimal transport on multivariate normal and q-normal distributions Qijun Tong Kei Kobayashi OT 23 7 0 19 Dec 2020
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks JiaoJiao Fan Amirhossein Taghvaei Yongxin Chen 42 57 0 08 Jul 2020
A Generative Model for Texture Synthesis based on Optimal Transport between Feature Distributions Antoine Houdard Arthur Leclaire Nicolas Papadakis Julien Rabin OT DiffM 22 23 0 19 Jun 2020
Likelihood-Free Inference with Deep Gaussian Processes Alexander Aushev Henri Pesonen Markus Heinonen J. Corander Samuel Kaski GP 26 10 0 18 Jun 2020
Fast Unbalanced Optimal Transport on a Tree Ryoma Sato M. Yamada H. Kashima OT 29 25 0 04 Jun 2020
A Study of Performance of Optimal Transport Yihe Dong Yu Gao Richard Peng Ilya P. Razenshteyn Saurabh Sawlani OT 16 17 0 03 May 2020
Statistical and Topological Properties of Sliced Probability Divergences Kimia Nadjahi Alain Durmus Lénaïc Chizat Soheil Kolouri Shahin Shahrampour Umut Simsekli 26 81 0 12 Mar 2020
Regularized Optimal Transport is Ground Cost Adversarial Franccois-Pierre Paty Marco Cuturi OT AAML OOD 41 29 0 10 Feb 2020
Gaussian-Smooth Optimal Transport: Metric Structure and Statistical Efficiency Ziv Goldfeld Kristjan Greenewald OT 33 39 0 24 Jan 2020
Speeding up Word Mover's Distance and its variants via properties of distances between embeddings Matheus Werner E. Laber 13 14 0 01 Dec 2019
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space Q. Mérigot Alex Delalande Frédéric Chazal OT 14 44 0 14 Oct 2019
How Well Do WGANs Estimate the Wasserstein Metric? Anton Mallasto Guido Montúfar Augusto Gerolin 30 25 0 09 Oct 2019
Statistical data analysis in the Wasserstein space Jérémie Bigot 27 29 0 19 Jul 2019
Learning to Score Behaviors for Guided Policy Optimization Aldo Pacchiano Jack Parker-Holder Yunhao Tang A. Choromańska K. Choromanski Michael I. Jordan 27 38 0 11 Jun 2019
A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization Yucheng Chen Matus Telgarsky Chao Zhang Bolton Bailey Daniel J. Hsu Jian-wei Peng GAN OT 16 17 0 08 Jun 2019
Solving graph compression via optimal transport Vikas K. Garg Tommi Jaakkola OT 18 16 0 29 May 2019
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem Gonzalo E. Mena Jonathan Niles-Weed OT 8 163 0 28 May 2019
Fast Algorithms for Computational Optimal Transport and Wasserstein Barycenter Wenshuo Guo Nhat Ho Michael I. Jordan OT 27 5 0 23 May 2019
Geometric Losses for Distributional Learning A. Mensch Mathieu Blondel Gabriel Peyré 12 15 0 15 May 2019
Minimax estimation of smooth optimal transport maps Jan-Christian Hütter Philippe Rigollet OT 29 28 0 14 May 2019
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs Amirhossein Taghvaei Amin Jalali 33 43 0 19 Feb 2019
Asymptotic distribution and convergence rates of stochastic algorithms for entropic optimal transportation between probability measures Bernard Bercu Jérémie Bigot 16 19 0 21 Dec 2018
Semi-dual Regularized Optimal Transport Marco Cuturi Gabriel Peyré OT 75 50 0 13 Nov 2018
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images B. Damodaran Rémi Flamary Vivien Seguy Nicolas Courty NoLa 34 39 0 02 Oct 2018
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions Antoine Liutkus Umut Simsekli Szymon Majewski Alain Durmus Fabian-Robert Stöter DiffM 37 120 0 21 Jun 2018
Statistical Optimal Transport via Factored Couplings Aden Forrow Jan-Christian Hütter Mor Nitzan Philippe Rigollet Geoffrey Schiebinger Jonathan Niles-Weed OT 25 69 0 19 Jun 2018
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters Pavel Dvurechensky D. Dvinskikh Alexander Gasnikov César A. Uribe Angelia Nedić 23 104 0 11 Jun 2018
An explicit analysis of the entropic penalty in linear programming Jonathan Niles-Weed 26 47 0 05 Jun 2018
Computation of optimal transport and related hedging problems via penalization and neural networks Stephan Eckstein Michael Kupper OT 41 49 0 23 Feb 2018
Reinforcement Learning with Wasserstein Distance Regularisation, with Applications to Multipolicy Learning Mohammed Abdullah Aldo Pacchiano M. Draief 13 3 0 12 Feb 2018
Large-Scale Optimal Transport and Mapping Estimation Vivien Seguy B. Damodaran Rémi Flamary Nicolas Courty Antoine Rolet Mathieu Blondel OT 41 243 0 07 Nov 2017
GAN and VAE from an Optimal Transport Point of View Aude Genevay Gabriel Peyré Marco Cuturi OT DRL 32 62 0 06 Jun 2017
Learning Generative Models with Sinkhorn Divergences Aude Genevay Gabriel Peyré Marco Cuturi OT 64 619 0 01 Jun 2017
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration Jason M. Altschuler Jonathan Niles-Weed Philippe Rigollet OT 23 583 0 26 May 2017
Joint Distribution Optimal Transportation for Domain Adaptation Nicolas Courty Rémi Flamary Amaury Habrard A. Rakotomamonjy OT OOD 36 558 0 24 May 2017
From optimal transport to generative modeling: the VEGAN cookbook Olivier Bousquet Sylvain Gelly Ilya O. Tolstikhin Carl-Johann Simon-Gabriel B. Schoelkopf OT 30 147 0 22 May 2017
Parallel Streaming Wasserstein Barycenters Matthew Staib Sebastian Claici Justin Solomon Stefanie Jegelka 16 88 0 21 May 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 78 4,809 0 26 Jan 2017
On parameter estimation with the Wasserstein distance Espen Bernton H. Shakespeare Mathieu Gerber Christian P. Robert 42 77 0 18 Jan 2017
Tsallis Regularized Optimal Transport and Ecological Inference Boris Muzellec Richard Nock Giorgio Patrini Frank Nielsen OT 18 51 0 15 Sep 2016