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20122026
most citedStatistical and computational trade-offs in estimation of sparse principal components

60 citations · 111 across the 14 of their papers we have counts for

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Showing 2017Show all

2 papers · 1 filter

stat.ME2017

Sparse principal component analysis via axis-aligned random projections

Milana Gataric, Tengyao Wang, Richard J. Samworth

We introduce a new method for sparse principal component analysis, based on the aggregation of eigenvector information from carefully-selected axis-aligned random projections of th…

math.ST2017

Isotonic regression in general dimensions

Qiyang Han, Tengyao Wang, Sabyasachi Chatterjee +1

We study the least squares regression function estimator over the class of real-valued functions on that are increasing in each coordinate. For uniformly bounded signals…