Zhu, Yuancheng

7 publications

JMLR 2023 HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation Weijie J. Su, Yuancheng Zhu

ICML 2018 Distributed Nonparametric Regression Under Communication Constraints Yuancheng Zhu, John Lafferty

AISTATS 2017 Learning Nonparametric Forest Graphical Models with Prior Information Yuancheng Zhu, Zhe Liu, Siqi Sun

NeurIPS 2016 Local Minimax Complexity of Stochastic Convex Optimization Sabyasachi Chatterjee, John C. Duchi, John Lafferty, Yuancheng Zhu

AISTATS 2015 The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models Yuancheng Zhu, Rina Foygel Barber

AISTATS 2014 Adaptive Variable Clustering in Gaussian Graphical Models Siqi Sun, Yuancheng Zhu, Jinbo Xu

NeurIPS 2014 Quantized Estimation of Gaussian Sequence Models in Euclidean Balls Yuancheng Zhu, John Lafferty