Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
Towards Effective Causal Partitioning by Edge Cutting of Adjoint Graph.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Balance, pattern distribution and linear complexity of M-ary sequences from Sidel'nikov sequences.
Appl. Algebra Eng. Commun. Comput., September, 2024
Hybrid Causal Feature Selection for Cancer Biomarker Identification From RNA-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity.
CoRR, 2024
Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Learning Adaptive Kernels for Statistical Independence Tests.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
On the pseudorandom properties of $ k $-ary Sidel'nikov sequences.
Adv. Math. Commun., 2023
Causal Discovery by Continuous Optimization with Conditional Independence Constraint: Methodology and Performance.
Proceedings of the IEEE International Conference on Data Mining, 2023
Incremental Graph Classification by Class Prototype Construction and Augmentation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Differentially Private Nonlinear Causal Discovery from Numerical Data.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023