2 papers
math.OC2025
Linear Convergence of the Proximal Gradient Method for Composite Optimization Under the Polyak-Åojasiewicz Inequality and Its Variant
Qingyuan Kong, Rujun Jiang, Yihan He
We study the linear convergence rates of the proximal gradient method for composite functions satisfying two classes of Polyak-Åojasiewicz (PL) inequality: the PL inequality, the…
stat.ME2025
Robust Inference for the Direct Average Treatment Effect with Treatment Assignment Interference
Matias D. Cattaneo, Yihan He, Ruiqi Rae Yu
This paper develops methods for uncertainty quantification in causal inference settings with random network interference. We study the large-sample distributional properties of the…