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

Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation IJCAI 2021
Oblivious Data for Fairness with Kernels JMLR 2021
Kernel Thinning COLT 2021
Predicting With Confidence on Unseen Distributions ICCV 2021
Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing AAAI 2021
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression ICML 2021
Understanding and Simplifying Perceptual Distances CVPR 2021
Geometric rates of convergence for kernel-based sampling algorithms UAI 2021
Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy AISTATS 2021
Efficient Statistical Tests: A Neural Tangent Kernel Approach ICML 2021
Deterministic Mini-batch Sequencing for Training Deep Neural Networks AAAI 2021
Distributional Reinforcement Learning via Moment Matching AAAI 2021
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support NIPS 2021
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes NIPS 2021
Neural Tangent Kernel Maximum Mean Discrepancy NIPS 2021
Optimal Bounds between f-Divergences and Integral Probability Metrics JMLR 2021
Distributional Reinforcement Learning for Multi-Dimensional Reward Functions NIPS 2021
Calibrated Reliable Regression using Maximum Mean Discrepancy NIPS 2020
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning NIPS 2020
Metric Learning Loss Functions to Reduce Domain Mismatch in the x-Vector Space for Language Recognition INTERSPEECH 2020
Unbalanced Sobolev Descent NIPS 2020
SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy EMNLP 2020
Variational Adversarial Kernel Learned Imitation Learning AAAI 2020
Rescuing neural spike train models from bad MLE NIPS 2020
Statistical Optimal Transport posed as Learning Kernel Embedding NIPS 2020