Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional Data Y Zhang, YC Chen Journal of Machine Learning Research 22 (154), 1-92, 2021 | 11 | 2021 |
Bayesian network structure learning: the two-step clustering-based algorithm Y Zhang, J Liu, Y Liu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 5 | 2018 |
The em perspective of directional mean shift algorithm Y Zhang, YC Chen arXiv preprint arXiv:2101.10058, 2021 | 3 | 2021 |
Linear convergence of the subspace constrained mean shift algorithm: from Euclidean to directional data Y Zhang, YC Chen Information and Inference: A Journal of the IMA 12 (1), 210-311, 2023 | 2 | 2023 |
Mode and ridge estimation in euclidean and directional product spaces: A mean shift approach Y Zhang, YC Chen arXiv preprint arXiv:2110.08505, 2021 | 2 | 2021 |
Learning Bayesian Network Structure by Self-Generating Prior Information: The Two-Step Clustering-Based Strategy Y Zhang, Y Liu, J Liu Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 2 | 2018 |
sconce: a cosmic web finder for spherical and conic geometries Y Zhang, RS de Souza, YC Chen Monthly Notices of the Royal Astronomical Society 517 (1), 1197-1217, 2022 | 1 | 2022 |
Nonparametric Inference on Dose-Response Curves Without the Positivity Condition Y Zhang, YC Chen, A Giessing arXiv e-prints, arXiv: 2405.09003, 2024 | | 2024 |
Efficient Inference on High-Dimensional Linear Models with Missing Outcomes Y Zhang, A Giessing, YC Chen arXiv preprint arXiv:2309.06429, 2023 | | 2023 |