maximum mean discrepancy

Understanding Deep Generative Models With Generalized Empirical Likelihoods CVPR 2023 Validation of composite systems by discrepancy propagation UAI 2023 Variational Inference for Deblending Crowded Starfields JMLR 2023 Accurate Quantization of Measures via Interacting Particle-based Optimization ICML 2022 A Kernel Two-Sample Test for Functional Data JMLR 2022 A permutation-free kernel two-sample test NeurIPS 2022 A Witness Two-Sample Test AISTATS 2022 Comparing Distributions by Measuring Differences that Affect Decision Making ICLR 2022 Distribution Compression in Near-Linear Time ICLR 2022 Distribution-Informed Neural Networks for Domain Adaptation Regression NeurIPS 2022 Distribution Regression with Sliced Wasserstein Kernels ICML 2022 Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning NeurIPS 2022 Domain Adaptation for Question Answering via Question Classification COLING 2022 Efficient Aggregated Kernel Tests using Incomplete U-statistics NeurIPS 2022 Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions ICLR 2022 Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold AAAI 2022 Generalized Kernel Thinning ICLR 2022 Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards AAAI 2022 Moment Matching Deep Contrastive Latent Variable Models AISTATS 2022 Naming the Most Anomalous Cluster in Hilbert Space for Structures with Attribute Information AAAI 2022 Nyström Kernel Mean Embeddings ICML 2022 Physically-Based Face Rendering for NIR-VIS Face Recognition NeurIPS 2022 Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap AISTATS 2022 Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates AISTATS 2022 Signature Moments to Characterize Laws of Stochastic Processes JMLR 2022