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SparseNet:Coordinate Descent with Non-Convex Penalties
Sparse Regression Regularization Surface Non-convex Optimization Coordinate Descent Degrees of Freedom Variable Selection LASSO
2015/8/21
We address the problem of sparse selection in linear models. A number of non-convex penalties have been proposed in the literature for this purpose, along with a variety of convex-relaxation algorithm...
Scientists use 'voting' and 'penalties' to overcome errors in quantum optimization（图）
voting penalties
2014/3/18
Study demonstrates that when the D-Wave quantum processor is led astray by noise, error correction can ensure that it functions as intended
Multi-task Regression using Minimal Penalties
multi-task oracle inequality learning theory
2011/9/19
Abstract: In this paper we study the kernel multiple ridge regression framework, which we refer to as multi-task regression, using penalization techniques. The theoretical analysis of this problem sho...
