48 citations · 108 across the 26 of their papers we have counts for
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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…
stat.ML2019★ 3 cited
Benefit of Interpolation in Nearest Neighbor Algorithms
Yue Xing, Qifan Song, Guang Cheng
The over-parameterized models attract much attention in the era of data science and deep learning. It is empirically observed that although these models, e.g. deep neural networks,…