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hilbert-schmidt independence criterion

54 papers

HSIC

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 Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective ICML 2025 Robust Kernel Hypothesis Testing under Data Corruption AISTATS 2025 Skeleton-based Action Recognition with Non-linear Dependency Modeling and Hilbert-Schmidt Independence Criterion AAAI 2025 Telling Peer Direct Effects from Indirect Effects in Observational Network Data ICML 2025 A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment JMLR 2024 Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis NeurIPS 2024 Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing NeurIPS 2024 FedInverse: Evaluating Privacy Leakage in Federated Learning ICLR 2024 PHSIC against Random Consistency and Its Application in Causal Inference IJCAI 2024 The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels NeurIPS 2024 A Permutation-Free Kernel Independence Test JMLR 2023 Differentially Private Nonlinear Causal Discovery from Numerical Data AAAI 2023 Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation ICML 2023 DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning ICML 2023 Kernelized Cumulants: Beyond Kernel Mean Embeddings NeurIPS 2023 Nyström M-Hilbert-Schmidt independence criterion UAI 2023 Sequential Kernelized Independence Testing ICML 2023 Statistical Insights into HSIC in High Dimensions NeurIPS 2023 Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational Inference AISTATS 2022 Efficient Aggregated Kernel Tests using Incomplete U-statistics NeurIPS 2022 Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion NeurIPS 2022 Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure NeurIPS 2022 Out-of-Distribution Detection via Conditional Kernel Independence Model NeurIPS 2022