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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