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Optimal Transport

367 directly classified papers

Papers per year

Papers

Style Transfer by Relaxed Optimal Transport and Self-Similarity CVPR 2019
Sliced Wasserstein Generative Models CVPR 2019
Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition CVPR 2019
Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport NIPS 2018
Structured Optimal Transport AISTATS 2018
Learning Generative Models with Sinkhorn Divergences AISTATS 2018
Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation IJCAI 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
Multi-Level Metric Learning via Smoothed Wasserstein Distance IJCAI 2018
Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn’s Algorithm ICML 2018
Stochastic Wasserstein Barycenters ICML 2018
Inference via Low-Dimensional Couplings JMLR 2018
Regularized Optimal Transport and the Rot Mover's Distance JMLR 2018
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
A Simulated Annealing Based Inexact Oracle for Wasserstein Loss Minimization ICML 2017
Multilevel Clustering via Wasserstein Means ICML 2017
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes NIPS 2017
A Framework for Optimal Matching for Causal Inference AISTATS 2017
Multiscale Strategies for Computing Optimal Transport JMLR 2017
Joint distribution optimal transportation for domain adaptation NIPS 2017