Zhou, Qing

13 publications

AISTATS 2025 Causal Discovery on Dependent Binary Data Alex Chen, Qing Zhou

NeurIPS 2025 Proper Hölder-Kullback Dirichlet Diffusion: A Framework for High Dimensional Generative Modeling Wanpeng Zhang, Yuhao Fang, Xihang Qiu, Jiarong Cheng, Jialong Hong, Bin Zhai, Qing Zhou, Yao Lu, Ye Zhang, Chun Li

CVPR 2025 Scale Efficient Training for Large Datasets Qing Zhou, Junyu Gao, Qi Wang

JMLR 2024 Learning Gaussian DAGs from Network Data Hangjian Li, Oscar Hernan Madrid Padilla, Qing Zhou

TMLR 2023 Bayesian Causal Bandits with Backdoor Adjustment Prior Jireh Huang, Qing Zhou

ICML 2023 Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs Dale Kim, Qing Zhou

AISTATS 2022 On Perfectness in Gaussian Graphical Models Arash Amini, Bryon Aragam, Qing Zhou

MLJ 2022 Partitioned Hybrid Learning of Bayesian Network Structures Jireh Huang, Qing Zhou

TMLR 2022 Sequentially Learning the Topological Ordering of Directed Acyclic Graphs with Likelihood Ratio Scores Gabriel Ruiz, Oscar Hernan Madrid Padilla, Qing Zhou

JMLR 2020 Learning Big Gaussian Bayesian Networks: Partition, Estimation and Fusion Jiaying Gu, Qing Zhou

NeurIPS 2019 Globally Optimal Score-Based Learning of Directed Acyclic Graphs in High-Dimensions Bryon Aragam, Arash Amini, Qing Zhou

JMLR 2015 Concave Penalized Estimation of Sparse Gaussian Bayesian Networks Bryon Aragam, Qing Zhou

ICML 1990 An Integrated Framework of Inducing Rules from Examples Yihua Wu, Shulin Wang, Qing Zhou