Estimation and Inference for Minimizer and Minimum of Convex Functions: Optimality, Adaptivity, and Uncertainty Principles.
T. Tony Cai, Ran Chen, and Yuancheng Zhu. Annals of Statistics, 2024.

Distributed Nonparametric Regression under Communication Constraints.
Yuancheng Zhu and John Lafferty. International Conference on Machine Learning, 2018.

Quantized Minimax Estimation over Sobolev Ellipsoids.
Yuancheng Zhu and John Lafferty. Information and Inference, 2017.

Quantized Estimation of Gaussian Sequence Models in Euclidean Balls.
Yuancheng Zhu and John Lafferty. Advances in Neural Information Processing Systems (NIPS), 2014.

HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation.
Weijie Su and Yuancheng Zhu. Journal of Machine Learning Research, 2023.

Local Minimax Complexity of Stochastic Convex Optimization.
Yuancheng Zhu, Sabyasachi Chaterjee, John Duchi, and John Lafferty. Advances in Neural Information Processing Systems (NIPS), 2016.

Learning Nonparametric Forest Graphical Models with Prior Information.
Yuancheng Zhu, Zhe Liu, and Siqi Sun. International Conference on Artificial Intelligence and Statistics (AISTATS), 2017.

The Log-shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models.
Yuancheng Zhu and Rina Foygel Barber. International Conference on Artificial Intelligence and Statistics (AISTATS), 2015.

Adaptive Variable Clustering in Gaussian Graphical Models.
Siqi Sun, Yuancheng Zhu, and Jinbo Xu. International Conference on Artificial Intelligence and Statistics (AISTATS), 2014.

Race, Writing, and Computation: Racial Difference and the US Novel, 1880-2000.
Richard Jean So, Hoyt Long, and Yuancheng Zhu. Journal of Cultural Analytics, 2019.

Self-Repetition and East Asian Literary Modernity, 1900-1930.
Hoyt Long, Anatoly Detwyler and Yuancheng Zhu. Journal of Cultural Analytics, 2018.