Supervised learning from multiple experts: whom to trust when everyone lies a bit. - Vikas C. Raykar; Shipeng Yu; Linda H. Zhao; Anna K. Jerebko; Charles Florin; Gerardo Hermosillo Valadez; Luca Bogoni; Linda Moy (ICML, 2009)

Learning From Crowds. - Vikas C. Raykar; Shipeng Yu; Linda H. Zhao; Gerardo Hermosillo Valadez; Charles Florin; Luca Bogoni; Linda Moy (J. Mach. Learn. Res., 2010)

Nonparametric prior for adaptive sparsity. - Vikas C. Raykar; Linda H. Zhao (AISTATS, 2010)

Nonparametric Empirical Bayes Estimation and Testing for Sparse and Heteroscedastic Signals. - Junhui Cai; Xu Han; Yaacov Ritov; Linda Zhao 001 (CoRR, 2021)

Network regression and supervised centrality estimation. - Junhui Cai; Dan Yang; Wu Zhu; Haipeng Shen; Linda Zhao 001 (CoRR, 2021)

Doubly High-Dimensional Contextual Bandits: An Interpretable Model for Joint Assortment-Pricing. - Junhui Cai; Ran Chen; Martin J. Wainwright; Linda Zhao 001 (CoRR, 2023)

AI as "Co-founder": GenAI for Entrepreneurship. - Junhui Jeff Cai; Xian Gu; Liugang Sheng; Mengjia Xia; Linda Zhao 001; Wu Zhu (CoRR, 2025)

Poisson-MNL Bandit: Nearly Optimal Dynamic Joint Assortment and Pricing with Decision-Dependent Customer Arrivals. - Junhui Jeff Cai; Ran Chen; Qitao Huang; Linda Zhao 001; Wu Zhu (CoRR, 2026)