Apr 2024: Co-authored 'Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes' with Tianze Jiang and Yanjun Han
Feb 2024: Co-authored 'Optimal score estimation via empirical Bayes smoothing' with Andre Wibisono and Kaylee Yingxi Yang
Feb 2024: Co-authored 'Sharp Information-Theoretic Thresholds for Shuffled Linear Regression' with Leon Lufkin and Jiaming Xu
Dec 2023: Co-authored 'Gradient flows for empirical Bayes in high-dimensional linear models' with Zhou Fan, Leying Guan, and Yandi Shen
Feb 2023: Co-authored 'Large-scale multiple testing: Fundamental limits of false discovery rate control and compound oracle?' with Yutong Nie
Nov 2022: Co-authored 'Empirical Bayes estimation: When does g-modeling beat f-modeling in theory (and in practice)?' with Yandi Shen