33 citations · 33 across the 2 of their papers we have counts for
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stat.ML2021
Distributed Sparse Feature Selection in Communication-Restricted Networks
Hanie Barghi, Amir Najafi, Seyed Abolfazl Motahari
This paper aims to propose and theoretically analyze a new distributed scheme for sparse linear regression and feature selection. The primary goal is to learn the few causal featur…
stat.ML2019★ 33 cited
Robustness to Adversarial Perturbations in Learning from Incomplete Data
Amir Najafi, Shin-ichi Maeda, Masanori Koyama +1
What is the role of unlabeled data in an inference problem, when the presumed underlying distribution is adversarially perturbed? To provide a concrete answer to this question, thi…