wasserstein distance

Scalar Function Topology Divergence: Comparing Topology of 3D Objects ECCV 2024 Score-based generative models are provably robust: an uncertainty quantification perspective NeurIPS 2024 Second-Order Uncertainty Quantification: A Distance-Based Approach ICML 2024 Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm AISTATS 2024 Sliced Wasserstein Estimation with Control Variates ICLR 2024 Standardized Interpretable Fairness Measures for Continuous Risk Scores ICML 2024 Statistical Efficiency of Distributional Temporal Difference Learning NeurIPS 2024 Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss NeurIPS 2024 Subsampling Error in Stochastic Gradient Langevin Diffusions AISTATS 2024 SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning ICLR 2024 Tangential Wasserstein Projections JMLR 2024 Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning ICLR 2024 Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling ICML 2024 The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models ICLR 2024 This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization NeurIPS 2024 Understanding Entropic Regularization in GANs JMLR 2024 Validating Climate Models with Spherical Convolutional Wasserstein Distance NeurIPS 2024 Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds NeurIPS 2024 Wasserstein Differential Privacy AAAI 2024 Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation NeurIPS 2024 Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness NeurIPS 2024 Wasserstein distributionally robust regret-optimal control over infinite-horizon L4DC 2024 Wasserstein Proximal Coordinate Gradient Algorithms JMLR 2024 Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformer ICML 2024 WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives IJCAI 2024