wasserstein metric

Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification CVPR 2021 Wasserstein Distributionally Robust Inverse Multiobjective Optimization AAAI 2021 Kernelized Wasserstein Natural Gradient ICLR 2020 Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression NeurIPS 2019 Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation CVPR 2019 A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization JMLR 2018 Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions NeurIPS 2018 Lipschitz Continuity in Model-based Reinforcement Learning ICML 2018 Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint CVPR 2018 Robust Hypothesis Testing Using Wasserstein Uncertainty Sets NeurIPS 2018 Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes NeurIPS 2017 Population Matching Discrepancy and Applications in Deep Learning NeurIPS 2017 Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric NeurIPS 2015