204 citations · 213 across the 16 of their papers we have counts for
Showing 2017 · cs.LGShow all
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cs.LG2017★ 1 cited
Learning Sparse Visual Representations with Leaky Capped Norm Regularizers
Jianqiao Wangni, Dahua Lin
Sparsity inducing regularization is an important part for learning over-complete visual representations. Despite the popularity of regularization, in this paper, we invest…
cs.LG2017★ 204 cited
Gradient Sparsification for Communication-Efficient Distributed Optimization
Jianqiao Wangni, Jialei Wang, Ji Liu +1
Modern large scale machine learning applications require stochastic optimization algorithms to be implemented on distributed computational architectures. A key bottleneck is the co…
cs.LG2017
Training L1-Regularized Models with Orthant-Wise Passive Descent Algorithms
Jianqiao Wangni
The -regularized models are widely used for sparse regression or classification tasks. In this paper, we propose the orthant-wise passive descent algorithm (OPDA) for optimizi…