29 citations · 46 across the 5 of their papers we have counts for
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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…
cs.LG2018★ 4 cited
Approximate Newton-based statistical inference using only stochastic gradients
Tianyang Li, Anastasios Kyrillidis, Liu Liu +1
We present a novel statistical inference framework for convex empirical risk minimization, using approximate stochastic Newton steps. The proposed algorithm is based on the notion…