conftrace_

maximum mean discrepancy

164 papers

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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

Kernel-Based Tests for Likelihood-Free Hypothesis Testing NIPS 2023
Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs NIPS 2023
MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting NIPS 2023
Dynamic Flows on Curved Space Generated by Labeled Data IJCAI 2023
Semi-Supervised Domain Adaptation With Auto-Encoder via Simultaneous Learning WACV 2023
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap AISTATS 2022
Nyström Kernel Mean Embeddings ICML 2022
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards AAAI 2022
Naming the Most Anomalous Cluster in Hilbert Space for Structures with Attribute Information AAAI 2022
Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold AAAI 2022
A Witness Two-Sample Test AISTATS 2022
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning NIPS 2022
Domain Adaptation for Question Answering via Question Classification COLING 2022
Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates AISTATS 2022
Distribution-Informed Neural Networks for Domain Adaptation Regression NIPS 2022
VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis ICML 2022
Accurate Quantization of Measures via Interacting Particle-based Optimization ICML 2022
A permutation-free kernel two-sample test NIPS 2022
Distribution Regression with Sliced Wasserstein Kernels ICML 2022
Signature Moments to Characterize Laws of Stochastic Processes JMLR 2022
Efficient Aggregated Kernel Tests using Incomplete $U$-statistics NIPS 2022
A Kernel Two-Sample Test for Functional Data JMLR 2022
Physically-Based Face Rendering for NIR-VIS Face Recognition NIPS 2022
Moment Matching Deep Contrastive Latent Variable Models AISTATS 2022
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes NIPS 2021