163 citations · 1.2k across the 128 of their papers we have counts for
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stat.ML2017★ 3 cited
A Simple Analysis for Exp-concave Empirical Minimization with Arbitrary Convex Regularizer
Tianbao Yang, Zhe Li, Lijun Zhang
In this paper, we present a simple analysis of {\bf fast rates} with {\it high probability} of {\bf empirical minimization} for {\it stochastic composite optimization} over a finit…
stat.ML2017★ 19 cited
Hybrid safe-strong rules for efficient optimization in lasso-type problems
Yaohui Zeng, Tianbao Yang, Patrick Breheny
The lasso model has been widely used for model selection in data mining, machine learning, and high-dimensional statistical analysis. However, with the ultrahigh-dimensional, large…