Generative quantum machine learning via denoising diffusion probabilistic models
Submitted, 2023
Citation: Bingzhi Zhang, Peng Xu, Xiaohui Chen, Quntao Zhuang. (2023). Generative quantum machine learning via denoising diffusion probabilistic models.
Publications
Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions
Published in INFORMS Data Mining and Decision Analysis Workshop, 2019
Citation: Wenda Zhou, Shuaiwen Wang, Peng Xu, Haiho Lu, Arian Maleki, Vahab Mirrokni. (2019). Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions. 2019 INFORMS Workshop on Data Mining and Decision Analytics.
orthoDr: Semiparametric Dimension Reduction via Orthogonality Constrained Optimization
Published in The R Journal, 2019
Citation: Ruoqing Zhu, Jiyang Zhang, Ruilin Zhao, Peng Xu, Wenzhuo Zhou, Xin Zhang. (2019). orthoDr: Semiparametric Dimension Reduction via Orthogonality Constrained Optimization. The R Journal.