Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms. - Xiangyi Chen; Tiancong Chen; Haoran Sun; Zhiwei Steven Wu; Mingyi Hong 001 (NeurIPS, 2020)

Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization. - Xinyan Li; Qilong Gu; Yingxue Zhou; Tiancong Chen; Arindam Banerjee 001 (SDM, 2020)

De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors. - Arindam Banerjee 001; Tiancong Chen; Yingxue Zhou (CoRR, 2020)

Stability Based Generalization Bounds for Exponential Family Langevin Dynamics. - Arindam Banerjee 001; Tiancong Chen; Xinyan Li; Yingxue Zhou (ICML, 2022)

Early Stopping for Deep Image Prior. - Hengkang Wang; Taihui Li; Zhong Zhuang; Tiancong Chen; Hengyue Liang; Ju Sun (Trans. Mach. Learn. Res., 2023)

DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models. - Hengkang Wang; Xu Zhang; Taihui Li; Yuxiang Wan; Tiancong Chen; Ju Sun (NeurIPS, 2024)