maximum mean discrepancy

Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator ICLR 2019 Sample Complexity of Sinkhorn Divergences AISTATS 2019 Sobolev Descent AISTATS 2019 Topic Modeling with Wasserstein Autoencoders ACL 2019 Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit AISTATS 2019 Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations AAAI 2019 Characteristic and Universal Tensor Product Kernels JMLR 2018 Demystifying MMD GANs ICLR 2018 Domain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification IJCAI 2018 Domain Generalization With Adversarial Feature Learning CVPR 2018 GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models ICML 2018 Joint Generative Moment-Matching Network for Learning Structural Latent Code IJCAI 2018 Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions JMLR 2018 Learning Conditional Acoustic Latent Representation with Gender and Age Attributes for Automatic Pain Level Recognition Interspeech 2018 Learning from Comparisons and Choices JMLR 2018 Nonparametric Density Estimation under Adversarial Losses NeurIPS 2018 On gradient regularizers for MMD GANs NeurIPS 2018 A Linear-Time Kernel Goodness-of-Fit Test NeurIPS 2017 An Adaptive Test of Independence with Analytic Kernel Embeddings ICML 2017 Deep Transfer Learning with Joint Adaptation Networks ICML 2017 Demystifying Neural Style Transfer IJCAI 2017 Efficient Kernel Selection via Spectral Analysis IJCAI 2017 Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation CVPR 2017 MMD GAN: Towards Deeper Understanding of Moment Matching Network NeurIPS 2017 On Gleaning Knowledge from Multiple Domains for Active Learning IJCAI 2017