wasserstein distance

Domain Adaptation and Entanglement: an Optimal Transport Perspective AISTATS 2025 Do WGANs succeed because they minimize the Wasserstein Distance? Lessons from Discrete Generators ICLR 2025 Finding Wasserstein Ball Center: Efficient Algorithm and The Applications in Fairness ICML 2025 Flow matching achieves almost minimax optimal convergence ICLR 2025 Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time ICML 2025 GLOMA: Global Video Text Spotting with Morphological Association ICLR 2025 How Persuasive Is Your Context? EMNLP 2025 HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation AAAI 2025 Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent ICLR 2025 KGE Calibrator: An Efficient Probability Calibration Method of Knowledge Graph Embedding Models for Trustworthy Link Prediction EMNLP 2025 Learning to Align: Addressing Character Frequency Distribution Shifts in Handwritten Text Recognition EMNLP 2025 Lightspeed Geometric Dataset Distance via Sliced Optimal Transport ICML 2025 Mixed-Feature Logistic Regression Robust to Distribution Shifts AISTATS 2025 Multimodal Variational Autoencoder: A Barycentric View AAAI 2025 Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization ICLR 2025 On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension JMLR 2025 Optimal Transport for Probabilistic Circuits UAI 2025 Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport ACL 2025 Physics-based Generative Models for Geometrically Consistent and Interpretable Wireless Channel Synthesis IJCAI 2025 Provable Convergence Bounds for Hybrid Dynamical Sampling and Optimization ICLR 2025 Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization ICLR 2025 Regress, Don’t Guess: A Regression-like Loss on Number Tokens for Language Models ICML 2025 Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations UAI 2025 S2WTM: Spherical Sliced-Wasserstein Autoencoder for Topic Modeling ACL 2025 Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up ICML 2025