Yuancheng Zhu

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 7

Top Topics

Distributed Constraint Optimization Problems

Nonparametric Regression

Online Learning

Top Venues

J. Mach. Learn. Res.

Publications

Weijie J. Su, Yuancheng Zhu
HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation. J. Mach. Learn. Res. 24 (2023)
Yihe Wang, Yufei Jin, Yuancheng Zhu, Xiyuan Li, Dazhi Li
Improved Random Forest Algorithm Based on Attribute Comprehensive Weighting Used in Identification of Missing Data in Power Grid. ICBDS (2020)
Weijie Su, Yuancheng Zhu
Statistical Inference for Online Learning and Stochastic Approximation via Hierarchical Incremental Gradient Descent. CoRR (2018)
Yuancheng Zhu, John Lafferty
Distributed Nonparametric Regression under Communication Constraints. ICML (2018)
Yuancheng Zhu, John D. Lafferty
Distributed Nonparametric Regression under Communication Constraints. CoRR (2018)
Yuancheng Zhu, Zhe Liu, Siqi Sun
Learning Nonparametric Forest Graphical Models with Prior Information. AISTATS (2017)
Sabyasachi Chatterjee, John C. Duchi, John D. Lafferty, Yuancheng Zhu
Local Minimax Complexity of Stochastic Convex Optimization. NIPS (2016)
Yuancheng Zhu, Zhe Liu, Siqi Sun
Nonparametric Estimation of Scale-Free Graphical Models. CoRR (2015)
Yuancheng Zhu, Rina Foygel Barber
The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models. AISTATS (2015)
Siqi Sun, Yuancheng Zhu, Jinbo Xu
Adaptive Variable Clustering in Gaussian Graphical Models. AISTATS (2014)
Yuancheng Zhu, John D. Lafferty
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls. NIPS (2014)