120 citations · 203 across the 7 of their papers we have counts for
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cs.LG2018★ 120 cited
Learning with Bad Training Data via Iterative Trimmed Loss Minimization
Yanyao Shen, Sujay Sanghavi
In this paper, we study a simple and generic framework to tackle the problem of learning model parameters when a fraction of the training samples are corrupted. We first make a sim…
cs.CL2018★ 4 cited
Dense Information Flow for Neural Machine Translation
Yanyao Shen, Xu Tan, Di He +2
Recently, neural machine translation has achieved remarkable progress by introducing well-designed deep neural networks into its encoder-decoder framework. From the optimization pe…
cs.LG2018★ 29 cited
High Dimensional Robust Sparse Regression
Liu Liu, Yanyao Shen, Tianyang Li +1
We provide a novel -- and to the best of our knowledge, the first -- algorithm for high dimensional sparse regression with constant fraction of corruptions in explanatory and/or re…