wasserstein distance

Scalable Approximation Algorithms for p-Wasserstein Distance and Its Variants ICML 2025 Sharper Bounds for Chebyshev Moment Matching, with Applications COLT 2025 Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds JMLR 2025 Spherical Tree-Sliced Wasserstein Distance ICLR 2025 Statistical Guarantees for Unpaired Image-to-Image Cross-Domain Analysis using GANs AISTATS 2025 Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold ICLR 2025 Stochastic Weight Sharing for Bayesian Neural Networks AISTATS 2025 Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction AAAI 2025 Towards Optimal Evaluation Efficiency for Large Language Models EMNLP 2025 Towards Scalable Topological Regularizers ICLR 2025 Towards Understanding Parametric Generalized Category Discovery on Graphs ICML 2025 Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy ICLR 2025 Uncertainty-aware Knowledge Tracing AAAI 2025 Unified Graph Neural Networks Pre-training for Multi-domain Graphs AAAI 2025 Universal generalization guarantees for Wasserstein distributionally robust models ICLR 2025 Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models JMLR 2025 Wasserstein Distance Constraint and Parameter Sparsification for Batched and Iterative Knowledge Editing AAAI 2025 Wasserstein Distances, Neuronal Entanglement, and Sparsity ICLR 2025 Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context AISTATS 2025 Wasserstein F-tests for Frechet regression on Bures-Wasserstein manifolds JMLR 2025 Wasserstein-Regularized Conformal Prediction under General Distribution Shift ICLR 2025 Wasserstein Style Distribution Analysis and Transform for Stylized Image Generation ICCV 2025 WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization AAAI 2025 A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points IJCAI 2024 Accelerating Sinkhorn algorithm with sparse Newton iterations ICLR 2024