Search Results for author: Alice X. Zheng

Found 3 papers, 0 papers with code

Gradient Boosted Feature Selection

no code implementations13 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.

feature selection

Gradient Regularized Budgeted Boosting

no code implementations13 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.

A survey of statistical network models

no code implementations29 Dec 2009 Anna Goldenberg, Alice X. Zheng, Stephen E. Fienberg, Edoardo M. Airoldi

Formal statistical models for the analysis of network data have emerged as a major topic of interest in diverse areas of study, and most of these involve a form of graphical representation.

Sociology

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