Sparsity by Default: The Theory and Practice of ARD in Gaussian Process Regression for Variable Selection
It is argued that ARD endures because of its seamless integration with kernel learning, universal software support, and low cost, and it is argued that ARD delivers effective rather than exact sparsity.
Jia Cai
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