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Optimal Transport

369 papers

Papers per year

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Papers

Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions ICML 2019
Learning to Match via Inverse Optimal Transport JMLR 2019
Optimal Transport: Fast Probabilistic Approximation with Exact Solvers JMLR 2019
Asymptotically Optimal Planning for Non-Myopic Multi-Robot Information Gathering RSS 2019
A Fast Proximal Point Method for Computing Exact Wasserstein Distance UAI 2019
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters NIPS 2018
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance NIPS 2018
On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport NIPS 2018
Computing Kantorovich-Wasserstein Distances on $d$-dimensional histograms using $(d+1)$-partite graphs NIPS 2018
Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport NIPS 2018
Learning Generative Models with Sinkhorn Divergences AISTATS 2018
Structured Optimal Transport AISTATS 2018
Sliced Wasserstein Distance for Learning Gaussian Mixture Models CVPR 2018
Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint CVPR 2018
Gromov-Wasserstein Alignment of Word Embedding Spaces EMNLP 2018
Stochastic Wasserstein Barycenters ICML 2018
Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn’s Algorithm ICML 2018
Multi-Level Metric Learning via Smoothed Wasserstein Distance IJCAI 2018
Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation IJCAI 2018
Regularized Optimal Transport and the Rot Mover's Distance JMLR 2018
Inference via Low-Dimensional Couplings JMLR 2018
Joint distribution optimal transportation for domain adaptation NIPS 2017
Parallel Streaming Wasserstein Barycenters NIPS 2017
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration NIPS 2017
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes NIPS 2017