Guang Cheng

11 catalog papers. Name-matched publications do not establish a verified researcher identity.

Department of Statistics and Data Science, University of California , Los Angeles, 8125 Math Sciences Bldg, Los Angeles, CA, USA

Publications

• Optimal Watermark Generation under Type I and Type II Errors — Biometrika (name-matched, not ORCID-linked)
• Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing — Journal of Machine Learning Research 2026 (name-matched, not ORCID-linked)
• Decentralized Sparse Linear Regression via Gradient-Tracking — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
• Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
• Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
• Power Iteration for Tensor PCA — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
• Distributed Bootstrap for Simultaneous Inference Under High Dimensionality — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
• Nonparametric Bayesian Aggregation for Massive Data — Journal of Machine Learning Research 2019 (name-matched, not ORCID-linked)
• Simultaneous Clustering and Estimation of Heterogeneous Graphical Models — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)
• Computational Limits of A Distributed Algorithm for Smoothing Spline — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)
• Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process Prior — Journal of Machine Learning Research 2015 (name-matched, not ORCID-linked)