Implicit Data-Driven Regularization in Deep Neural Networks under SGD. - Xuran Meng; Jianfeng Yao (CoRR, 2021)

Impact of classification difficulty on the weight matrices spectra in Deep Learning and application to early-stopping. - Xuran Meng; Jeff Yao (J. Mach. Learn. Res., 2023)

Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data. - Xuran Meng; Difan Zou; Yuan Cao 006 (ICML, 2024)

Initialization Matters: On the Benign Overfitting of Two-Layer ReLU CNN with Fully Trainable Layers. - Shuning Shang; Xuran Meng; Yuan Cao 006; Difan Zou (CoRR, 2024)

Multiple Descent in the Multiple Random Feature Model. - Xuran Meng; Jianfeng Yao; Yuan Cao (J. Mach. Learn. Res., 2024)

Transformer Learns Optimal Variable Selection in Group-Sparse Classification. - Chenyang Zhang; Xuran Meng; Yuan Cao 006 (ICLR, 2025)

Per-example gradient regularization improves learning signals from noisy data. - Xuran Meng; Yuan Cao 006; Difan Zou (Mach. Learn., 2025)

Transformer Learns Optimal Variable Selection in Group-Sparse Classification. - Chenyang Zhang; Xuran Meng; Yuan Cao (CoRR, 2025)

Inferring Outcome Means of Exponential Family Distributions Estimated by Deep Neural Networks. - Xuran Meng; Yi Li (CoRR, 2025)

Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future. - Yidong Wang; Xin Wang; Cunxiang Wang; Junfeng Fang; Qiufeng Wang; Jianing Chu; Xuran Meng; Shuxun Yang; Libo Qin 001; Yue Zhang 004; Wei Ye 004; Shikun Zhang (CoRR, 2025)