maximum mean discrepancy

Population Matching Discrepancy and Applications in Deep Learning NeurIPS 2017 Testing and Learning on Distributions with Symmetric Noise Invariance NeurIPS 2017 Conditional Generative Moment-Matching Networks NeurIPS 2016 Distribution-Matching Embedding for Visual Domain Adaptation JMLR 2016 Examples are not enough, learn to criticize! Criticism for Interpretability NeurIPS 2016 Interpretable Distribution Features with Maximum Testing Power NeurIPS 2016 K2-ABC: Approximate Bayesian Computation with Kernel Embeddings AISTATS 2016 Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels NeurIPS 2016 Generative Moment Matching Networks ICML 2015 On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives AISTATS 2015 Statistical Model Criticism using Kernel Two Sample Tests NeurIPS 2015 Domain Adaptation on the Statistical Manifold CVPR 2014 Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection ICML 2014 Recognizing RGB Images by Learning from RGB-D Data CVPR 2014 Transfer Joint Matching for Unsupervised Domain Adaptation CVPR 2014 B-test: A Non-parametric, Low Variance Kernel Two-sample Test NeurIPS 2013 Maximum Mean Discrepancy Imitation Learning RSS 2013 A Kernel Two-Sample Test JMLR 2012 Optimal kernel choice for large-scale two-sample tests NeurIPS 2012 Learning to Locate Relative Outliers ACML 2011 Hilbert Space Embeddings and Metrics on Probability Measures JMLR 2010 Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NeurIPS 2009 Estimation of Information Theoretic Measures for Continuous Random Variables NeurIPS 2008