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hilbert-schmidt independence criterion

46 papers

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Also known as

HSIC

Co-occurring keywords

kernel methods (1097) feature selection (649) representation learning (6206) independence testing (27) independence test (14) reproducing kernel hilbert space (334) hypothesis testing (254) statistical testing (98) domain adaptation (4595) kernel independence test (2)

Papers

RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting AAAI 2026
Stable and Adaptive Fusion for Multi-domain Multi-task Recommendation AAAI 2026
Skeleton-based Action Recognition with Non-linear Dependency Modeling and Hilbert-Schmidt Independence Criterion AAAI 2025
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment JMLR 2024
Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing NIPS 2024
The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels NIPS 2024
Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis NIPS 2024
PHSIC against Random Consistency and Its Application in Causal Inference IJCAI 2024
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation ICML 2023
A Permutation-Free Kernel Independence Test JMLR 2023
Sequential Kernelized Independence Testing ICML 2023
Differentially Private Nonlinear Causal Discovery from Numerical Data AAAI 2023
Kernelized Cumulants: Beyond Kernel Mean Embeddings NIPS 2023
Statistical Insights into HSIC in High Dimensions NIPS 2023
Nyström $M$-Hilbert-Schmidt independence criterion UAI 2023
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure NIPS 2022
Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational Inference AISTATS 2022
Out-of-Distribution Detection via Conditional Kernel Independence Model NIPS 2022
Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion NIPS 2022
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness NIPS 2021
Post-selection inference with HSIC-Lasso ICML 2021
A Kernel-based Test of Independence for Cluster-correlated Data NIPS 2021
Self-Supervised Learning with Kernel Dependence Maximization NIPS 2021
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings NIPS 2020
Robust Learning with the Hilbert-Schmidt Independence Criterion ICML 2020