hilbert-schmidt independence criterion

A Kernel-based Test of Independence for Cluster-correlated Data NeurIPS 2021 Post-selection inference with HSIC-Lasso ICML 2021 Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness NeurIPS 2021 Self-Supervised Learning with Kernel Dependence Maximization NeurIPS 2021 A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings NeurIPS 2020 Beyond Trees: Classification with Sparse Pairwise Dependencies JMLR 2020 Independence Promoted Graph Disentangled Networks AAAI 2020 Robust Learning with the Hilbert-Schmidt Independence Criterion ICML 2020 Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments AAAI 2020 Sparse Hilbert-Schmidt Independence Criterion Regression AISTATS 2020 The HSIC Bottleneck: Deep Learning without Back-Propagation AAAI 2020 Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks AAAI 2020 Characteristic and Universal Tensor Product Kernels JMLR 2018 Ensemble Soft-Margin Softmax Loss for Image Classification IJCAI 2018 FISH-MML: Fisher-HSIC Multi-View Metric Learning IJCAI 2018 Information Constraints on Auto-Encoding Variational Bayes NeurIPS 2018 Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions EMNLP 2018 Post Selection Inference with Kernels AISTATS 2018 Learning Co-Substructures by Kernel Dependence Maximization IJCAI 2017 Multi-Component Nonnegative Matrix Factorization IJCAI 2017 Tests of Mutual or Serial Independence of Random Vectors with Applications JMLR 2017 Diversity-Induced Multi-View Subspace Clustering CVPR 2015 A Kernel Independence Test for Random Processes ICML 2014 Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment ICML 2013 Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NeurIPS 2013