Xia, Yewei

10 publications

ICLR 2026 Conditional Independent Component Analysis for Estimating Causal Structure with Latent Variables Yewei Xia, Zhengming Chen, Haoyue Dai, Fuhong Wang, Yixin Ren, Yiqing Li, Kun Zhang, Shuigeng Zhou

ICLR 2026 Independence Test for Linear Non-Gaussian Data and Applications in Causal Discovery Yiqing Li, Xiaofei Wang, Boyang Sun, Yewei Xia, Kun Zhang

IJCAI 2025 Efficient Constraint-Based Window Causal Graph Discovery in Time Series with Multiple Time Lags Yewei Xia, Yixin Ren, Hong Cheng, Hao Zhang, Jihong Guan, Minchuan Xu, Shuigeng Zhou

ICML 2025 Extracting Rare Dependence Patterns via Adaptive Sample Reweighting Yiqing Li, Yewei Xia, Xiaofei Wang, Zhengming Chen, Liuhua Peng, Mingming Gong, Kun Zhang

ICML 2025 Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations Zhengming Chen, Yewei Xia, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai, Kun Zhang

IJCAI 2025 Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise Yewei Xia, Xueliang Cui, Hao Zhang, Yixin Ren, Feng Xie, Jihong Guan, Ruxin Wang, Shuigeng Zhou

NeurIPS 2024 Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou

AISTATS 2024 Learning Adaptive Kernels for Statistical Independence Tests Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou

AAAI 2023 Differentially Private Nonlinear Causal Discovery from Numerical Data Hao Zhang, Yewei Xia, Yixin Ren, Jihong Guan, Shuigeng Zhou

AAAI 2023 Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance Yixin Ren, Hao Zhang, Yewei Xia, Jihong Guan, Shuigeng Zhou