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stat.ML2018★ 25 cited
D2KE: From Distance to Kernel and Embedding
Lingfei Wu, Ian En-Hsu Yen, Fangli Xu +2
For many machine learning problem settings, particularly with structured inputs such as sequences or sets of objects, a distance measure between inputs can be specified more natura…
stat.ML2014★ 15 cited
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators
Kai Zhong, Ian E. H. Yen, Inderjit S. Dhillon +1
We consider the class of optimization problems arising from computationally intensive L1-regularized M-estimators, where the function or gradient values are very expensive to compu…