maximum mean discrepancy

A Martingale Kernel Two-Sample Test ALT 2026 Doubly Debiased Robust Subsampling for Transfer Learning JMLR 2026 Fair Bayesian Data Selection via Generalized Discrepancy Measures AAAI 2026 Online Multi-Relational Clustering with Dominant View Mining AAAI 2026 Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding AAAI 2026 ReBaPL: Repulsive Bayesian Prompt Learning CVPR 2026 AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment CVPR 2025 Beyond FVD: An Enhanced Evaluation Metrics for Video Generation Distribution Quality ICLR 2025 Cap2Aug: Caption Guided Image Data Augmentation WACV 2025 Composite Goodness-of-fit Tests with Kernels JMLR 2025 Cross-corpus open-set Speech Emotion Recognition Method Based on Spatiotemporal Features with Inverse-Entropy Regularization Interspeech 2025 Cross-Modal Feature Alignment and MMD Improve Robustness of Prompt Tuning WACV 2025 Deep MMD Gradient Flow without adversarial training ICLR 2025 Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning AAAI 2025 (De)-regularized Maximum Mean Discrepancy Gradient Flow JMLR 2025 Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters JMLR 2025 Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling JMLR 2025 Flowing Datasets with Wasserstein over Wasserstein Gradient Flows ICML 2025 Global Group Fairness in Federated Learning via Function Tracking AISTATS 2025 Learnware Specification via Label-Aware Neural Embedding AAAI 2025 Lifelong Scalable Generative System via Online Maximum Mean Discrepancy AAAI 2025 Model Equality Testing: Which Model is this API Serving? ICLR 2025 Prediction-Centric Uncertainty Quantification via MMD AISTATS 2025 Robust Kernel Hypothesis Testing under Data Corruption AISTATS 2025 Skill Disentanglement in Reproducing Kernel Hilbert Space AAAI 2025