no code implementations • 13 Jan 2019 • Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng
A feature selection algorithm should ideally satisfy four conditions: reliably extract relevant features; be able to identify non-linear feature interactions; scale linearly with the number of features and dimensions; allow the incorporation of known sparsity structure.
no code implementations • 13 Jan 2019 • Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Alice X. Zheng
As machine learning transitions increasingly towards real world applications controlling the test-time cost of algorithms becomes more and more crucial.