wasserstein distance

Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors ICML 2022 Unsupervised Opinion Summarisation in the Wasserstein Space EMNLP 2022 Variance Minimization in the Wasserstein Space for Invariant Causal Prediction AISTATS 2022 Wasserstein GANs with Gradient Penalty Compute Congested Transport COLT 2022 Wasserstein Logistic Regression with Mixed Features NeurIPS 2022 Wasserstein Unsupervised Reinforcement Learning AAAI 2022 Accelerated WGAN Update Strategy With Loss Change Rate Balancing WACV 2021 Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction ICLR 2021 Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization CVPR 2021 Adversarial Intrinsic Motivation for Reinforcement Learning NeurIPS 2021 Analysis of stochastic Lanczos quadrature for spectrum approximation ICML 2021 argmax centroid NeurIPS 2021 A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance ICML 2021 A Theory of the Distortion-Perception Tradeoff in Wasserstein Space NeurIPS 2021 Automatic Text Evaluation through the Lens of Wasserstein Barycenters EMNLP 2021 A Wasserstein Minimax Framework for Mixed Linear Regression ICML 2021 Backdoor Attack with Imperceptible Input and Latent Modification NeurIPS 2021 Computationally Efficient Wasserstein Loss for Structured Labels EACL 2021 Contrastive Laplacian Eigenmaps NeurIPS 2021 Deep Unsupervised Image Hashing by Maximizing Bit Entropy AAAI 2021 Deep Wasserstein Graph Discriminant Learning for Graph Classification AAAI 2021 Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark NeurIPS 2021 Exposing Cyber-Physical System Weaknesses by Implicitly Learning their Underlying Models ACML 2021 First-Order Methods for Wasserstein Distributionally Robust MDP ICML 2021 Fundamental Tradeoffs in Distributionally Adversarial Training ICML 2021