Yuancheng Zhu

According to our database, Yuancheng Zhu authored at least 10 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation.

Weijie J. Su, Yuancheng Zhu

J. Mach. Learn. Res., 2023

2020

Improved Random Forest Algorithm Based on Attribute Comprehensive Weighting Used in Identification of Missing Data in Power Grid.

Yihe Wang, Yufei Jin, Yuancheng Zhu, Xiyuan Li, Dazhi Li

Proceedings of the Big Data and Security - Second International Conference, 2020

2018

Statistical Inference for Online Learning and Stochastic Approximation via Hierarchical Incremental Gradient Descent.

Weijie Su, Yuancheng Zhu

CoRR, 2018

Distributed Nonparametric Regression under Communication Constraints.

Yuancheng Zhu, John Lafferty

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Learning Nonparametric Forest Graphical Models with Prior Information.

Yuancheng Zhu, Zhe Liu, Siqi Sun

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Local Minimax Complexity of Stochastic Convex Optimization.

Sabyasachi Chatterjee, John C. Duchi, John D. Lafferty, Yuancheng Zhu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Nonparametric Estimation of Scale-Free Graphical Models.

Yuancheng Zhu, Zhe Liu, Siqi Sun

CoRR, 2015

The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models.

Yuancheng Zhu, Rina Foygel Barber

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Quantized Estimation of Gaussian Sequence Models in Euclidean Balls.

Yuancheng Zhu, John D. Lafferty

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Adaptive Variable Clustering in Gaussian Graphical Models.

Siqi Sun, Yuancheng Zhu, Jinbo Xu

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014