optimal transport

Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters NeurIPS 2018 Differentiable Submodular Maximization IJCAI 2018 Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance NeurIPS 2018 Distilled Wasserstein Learning for Word Embedding and Topic Modeling NeurIPS 2018 Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints CVPR 2018 Fast Similarity Search via Optimal Sparse Lifting NeurIPS 2018 Geometrically Coupled Monte Carlo Sampling NeurIPS 2018 Gromov-Wasserstein Alignment of Word Embedding Spaces EMNLP 2018 Improving GANs Using Optimal Transport ICLR 2018 Inference via Low-Dimensional Couplings JMLR 2018 Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport NeurIPS 2018 Large Scale Optimal Transport and Mapping Estimation ICLR 2018 Learning Generative Models with Sinkhorn Divergences AISTATS 2018 Learning Neural Representation for CLIR with Adversarial Framework EMNLP 2018 Learning semantic similarity in a continuous space NeurIPS 2018 Multi-Level Metric Learning via Smoothed Wasserstein Distance IJCAI 2018 Neural Architecture Search with Bayesian Optimisation and Optimal Transport NeurIPS 2018 On the Convergence and Robustness of Training GANs with Regularized Optimal Transport NeurIPS 2018 On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport NeurIPS 2018 Pathwise Derivatives Beyond the Reparameterization Trick ICML 2018 Regularized Optimal Transport and the Rot Mover's Distance JMLR 2018 Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint CVPR 2018 Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation CVPR 2018 Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation IJCAI 2018 Sliced Wasserstein Distance for Learning Gaussian Mixture Models CVPR 2018