Yuancheng Zhu

11 papers A* 1A 3Journal 4Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation. J. Mach. Learn. Res. Weijie J. Su, Yuancheng Zhu
2020	—	`conf`	Improved Random Forest Algorithm Based on Attribute Comprehensive Weighting Used in Identification of Missing Data in Power Grid. ICBDS Yihe Wang, Yufei Jin, Yuancheng Zhu, Xiyuan Li, Dazhi Li
2018	A*	`conf`	Distributed Nonparametric Regression under Communication Constraints. ICML Yuancheng Zhu, John Lafferty
2018	J	`jnl`	Distributed Nonparametric Regression under Communication Constraints. CoRR Yuancheng Zhu, John D. Lafferty
2018	J	`jnl`	Statistical Inference for Online Learning and Stochastic Approximation via Hierarchical Incremental Gradient Descent. CoRR Weijie Su, Yuancheng Zhu
2017	A	`conf`	Learning Nonparametric Forest Graphical Models with Prior Information. AISTATS Yuancheng Zhu, Zhe Liu, Siqi Sun
2016	—	`conf`	Local Minimax Complexity of Stochastic Convex Optimization. NIPS Sabyasachi Chatterjee, John C. Duchi, John D. Lafferty, Yuancheng Zhu
2015	J	`jnl`	Nonparametric Estimation of Scale-Free Graphical Models. CoRR Yuancheng Zhu, Zhe Liu, Siqi Sun
2015	A	`conf`	The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models. AISTATS Yuancheng Zhu, Rina Foygel Barber
2014	A	`conf`	Adaptive Variable Clustering in Gaussian Graphical Models. AISTATS Siqi Sun, Yuancheng Zhu, Jinbo Xu
2014	—	`conf`	Quantized Estimation of Gaussian Sequence Models in Euclidean Balls. NIPS Yuancheng Zhu, John D. Lafferty