565 citations · 3.2k across the 41 of their papers we have counts for
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stat.ML2017★ 23 cited
Why Adaptively Collected Data Have Negative Bias and How to Correct for It
Xinkun Nie, Xiaoying Tian, Jonathan Taylor +1
From scientific experiments to online A/B testing, the previously observed data often affects how future experiments are performed, which in turn affects which data will be collect…
stat.ML2015★ 46 cited
Communication-efficient sparse regression: a one-shot approach
Jason D. Lee, Yuekai Sun, Qiang Liu +1
We devise a one-shot approach to distributed sparse regression in the high-dimensional setting. The key idea is to average "debiased" or "desparsified" lasso estimators. We show th…