46 citations · 91 across the 5 of their papers we have counts for
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cs.LG2017★ 22 cited
From Bayesian Sparsity to Gated Recurrent Nets
Hao He, Bo Xin, David Wipf
The iterations of many first-order algorithms, when applied to minimizing common regularized regression functions, often resemble neural network layers with pre-specified weights.…
cs.LG2016
Maximal Sparsity with Deep Networks?
Bo Xin, Yizhou Wang, Wen Gao +1
The iterations of many sparse estimation algorithms are comprised of a fixed linear filter cascaded with a thresholding nonlinearity, which collectively resemble a typical neural n…
cs.LG2015★ 5 cited
Stable Feature Selection from Brain sMRI
Bo Xin, Lingjing Hu, Yizhou Wang +1
Neuroimage analysis usually involves learning thousands or even millions of variables using only a limited number of samples. In this regard, sparse models, e.g. the lasso, are app…