142 citations · 752 across the 110 of their papers we have counts for
3 papers · 2 filters
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering
Ilias Diakonikolas, Sushrut Karmalkar, Daniel Kane +2
We study high-dimensional sparse estimation tasks in a robust setting where a constant fraction of the dataset is adversarially corrupted. Specifically, we focus on the fundamental…
Recent Advances in Algorithmic High-Dimensional Robust Statistics
Ilias Diakonikolas, Daniel M. Kane
Learning in the presence of outliers is a fundamental problem in statistics. Until recently, all known efficient unsupervised learning algorithms were very sensitive to outliers in…
Learning Ising Models with Independent Failures
Surbhi Goel, Daniel M. Kane, Adam R. Klivans
We give the first efficient algorithm for learning the structure of an Ising model that tolerates independent failures; that is, each entry of the observed sample is missing with s…