327 citations · 947 across the 25 of their papers we have counts for
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stat.ML2014★ 9 cited
Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory
Tuo Zhao, Han Liu, Tong Zhang
The pathwise coordinate optimization is one of the most important computational frameworks for high dimensional convex and nonconvex sparse learning problems. It differs from the c…
math.ST2014
Bayesian Model Averaging with Exponentiated Least Square Loss
Dong Dai, Lei Han, Ting Yang +1
The model averaging problem is to average multiple models to achieve a prediction accuracy not much worse than that of the best single model in terms of mean squared error. It is k…