conftrace_

maximum mean discrepancy

164 papers

Explore in graph

Also known as

MMD

Co-occurring keywords

kernel methods (1097) domain adaptation (4595) reproducing kernel hilbert space (334) two-sample test (51) optimal transport (948) distribution matching (127) hypothesis testing (254) generative adversarial network (1944) transfer learning (5449) kernel mean embedding (43)

Papers

Graph Classification via Reference Distribution Learning: Theory and Practice NIPS 2024
Evaluating Transferability in Retrieval Tasks: An Approach Using MMD and Kernel Methods CVPR 2024
Data Distribution Valuation NIPS 2024
Spectral Regularized Kernel Goodness-of-Fit Tests JMLR 2024
Domain Generalisation via Risk Distribution Matching WACV 2024
Validation of composite systems by discrepancy propagation UAI 2023
Variational Inference for Deblending Crowded Starfields JMLR 2023
Estimation Beyond Data Reweighting: Kernel Method of Moments ICML 2023
Compress Then Test: Powerful Kernel Testing in Near-linear Time AISTATS 2023
Indirect Adversarial Losses via an Intermediate Distribution for Training GANs WACV 2023
MMD Aggregated Two-Sample Test JMLR 2023
Lifelong Compression Mixture Model via Knowledge Relationship Graph AAAI 2023
Kernel-Based Tests for Likelihood-Free Hypothesis Testing NIPS 2023
Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels ICML 2023
Metrizing Weak Convergence with Maximum Mean Discrepancies JMLR 2023
Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs NIPS 2023
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score ICML 2023
Sample Complexity of Probability Divergences under Group Symmetry ICML 2023
Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling JMLR 2023
Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference ICML 2023
Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning JMLR 2023
MMD-B-Fair: Learning Fair Representations with Statistical Testing AISTATS 2023
Dynamic Flows on Curved Space Generated by Labeled Data IJCAI 2023
Understanding Deep Generative Models With Generalized Empirical Likelihoods CVPR 2023
Two Sample Testing in High Dimension via Maximum Mean Discrepancy JMLR 2023