maximum mean discrepancy

Targeted Separation and Convergence with Kernel Discrepancies JMLR 2024 A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing COLT 2023 Compress Then Test: Powerful Kernel Testing in Near-linear Time AISTATS 2023 Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning JMLR 2023 Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score ICML 2023 Dynamic Flows on Curved Space Generated by Labeled Data IJCAI 2023 Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs NeurIPS 2023 Estimation Beyond Data Reweighting: Kernel Method of Moments ICML 2023 GEMS: Scene Expansion Using Generative Models of Graphs WACV 2023 Indirect Adversarial Losses via an Intermediate Distribution for Training GANs WACV 2023 Kernel-Based Tests for Likelihood-Free Hypothesis Testing NeurIPS 2023 Kernelized Cumulants: Beyond Kernel Mean Embeddings NeurIPS 2023 Lifelong Compression Mixture Model via Knowledge Relationship Graph AAAI 2023 Meta-forests: Domain generalization on random forests with meta-learning ACML 2023 Metrizing Weak Convergence with Maximum Mean Discrepancies JMLR 2023 MMD Aggregated Two-Sample Test JMLR 2023 MMD-B-Fair: Learning Fair Representations with Statistical Testing AISTATS 2023 MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting NeurIPS 2023 Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling JMLR 2023 Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels ICML 2023 Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference ICML 2023 Sample Complexity of Probability Divergences under Group Symmetry ICML 2023 Self-supervised learning with rotation-invariant kernels ICLR 2023 Semi-Supervised Domain Adaptation With Auto-Encoder via Simultaneous Learning WACV 2023 Two Sample Testing in High Dimension via Maximum Mean Discrepancy JMLR 2023