conftrace_

kernel mean embedding

43 papers

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Also known as

KME

Co-occurring keywords

reproducing kernel hilbert space (334) maximum mean discrepancy (164) kernel methods (1097) bayesian inference (1907) differential privacy (1016) generative model (2892) random feature (89) causal inference (1630) probability measure (59) nyström method (32)

Papers

Simulator Calibration under Covariate Shift with Kernels AISTATS 2020
A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control L4DC 2020
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings NIPS 2020
MATE: Plugging in Model Awareness to Task Embedding for Meta Learning NIPS 2020
Statistical Optimal Transport posed as Learning Kernel Embedding NIPS 2020
Bayesian Deconditional Kernel Mean Embeddings ICML 2019
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference AISTATS 2019
MONK Outlier-Robust Mean Embedding Estimation by Median-of-Means ICML 2019
Distribution-Based Semi-Supervised Learning for Activity Recognition AAAI 2019
Trainable Calibration Measures for Neural Networks from Kernel Mean Embeddings ICML 2018
Differentially Private Database Release via Kernel Mean Embeddings ICML 2018
Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions JMLR 2018
Minimax Estimation of Kernel Mean Embeddings JMLR 2017
Conditional Generative Moment-Matching Networks NIPS 2016
Consistent Kernel Mean Estimation for Functions of Random Variables NIPS 2016
Towards a Learning Theory of Cause-Effect Inference ICML 2015
The Randomized Causation Coefficient JMLR 2015
Kernel Bayes' Rule NIPS 2011