224 citations · 3.2k across the 170 of their papers we have counts for
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cs.LG2014★ 12 cited
Big Learning with Bayesian Methods
Jun Zhu, Jianfei Chen, Wenbo Hu +1
Explosive growth in data and availability of cheap computing resources have sparked increasing interest in Big learning, an emerging subfield that studies scalable machine learning…
cs.LG2014
Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields
Ni Lao, Jun Zhu
Structure learning of Conditional Random Fields (CRFs) can be cast into an L1-regularized optimization problem. To avoid optimizing over a fully linked model, gain-based or gradien…
cs.LG2014★ 14 cited
Dropout Training for Support Vector Machines
Ning Chen, Jun Zhu, Jianfei Chen +1
Dropout and other feature noising schemes have shown promising results in controlling over-fitting by artificially corrupting the training data. Though extensive theoretical and em…