Variable Selection via Penalized Neural Network: a Drop-Out-One Loss Approach. - Mao Ye; Yan Sun 011 (ICML, 2018)

Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection. - Qifan Song; Yan Sun 011; Mao Ye; Faming Liang (CoRR, 2020)

Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration. - Yan Sun 011; Wenjun Xiong; Faming Liang (NeurIPS, 2021)

Consistent Sparse Deep Learning: Theory and Computation. - Yan Sun 011; Qifan Song; Faming Liang (CoRR, 2021)

Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network. - Siqi Liang 005; Yan Sun 011; Faming Liang (NeurIPS, 2022)

A Kernel-Expanded Stochastic Neural Network. - Yan Sun 011; Faming Liang (CoRR, 2022)