Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data. - Gautam Kamath 001; Xingtu Liu 001; Huanyu Zhang (ICML, 2022)

Landscape Analysis of Stochastic Policy Gradient Methods. - Xingtu Liu 001 (ECML/PKDD (2), 2024)

Neural Networks with Complex-Valued Weights Have No Spurious Local Minima. - Xingtu Liu 001 (CISS, 2025)

A Note on Arithmetic-Geometric Mean Inequality for Well-Conditioned Matrices. - Xingtu Liu 001 (CISS, 2025)

Sample Complexity Bounds for Linear Constrained MDPs with a Generative Model. - Xingtu Liu 001; Lin F. Yang; Sharan Vaswani (CoRR, 2025)