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math.ST2019★ 1 cited
Adaptive Variational Bayesian Inference for Sparse Deep Neural Network
Jincheng Bai, Qifan Song, Guang Cheng
In this work, we focus on variational Bayesian inference on the sparse Deep Neural Network (DNN) modeled under a class of spike-and-slab priors. Given a pre-specified sparse DNN st…
math.ST2019
Enhancing Multi-model Inference with Natural Selection
Ching-Wei Cheng, Guang Cheng
Multi-model inference covers a wide range of modern statistical applications such as variable selection, model confidence set, model averaging and variable importance. The performa…