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05/11/2021
Federated Unbiased Learning to Rank
Unbiased Learning to Rank (ULTR) studies the problem of learning a ranki...
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08/14/2016
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data
Machine learning methods are used to discover complex nonlinear relation...
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06/01/2016
Scaling Submodular Maximization via Pruned Submodularity Graphs
We propose a new random pruning method (called "submodular sparsificatio...
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11/10/2014
N^3LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data
We propose a feature selection method that finds non-redundant features ...
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11/03/2012
Stochastic ADMM for Nonsmooth Optimization
We present a stochastic setting for optimization problems with nonsmooth...
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05/21/2012