38 citations · 38 across the 3 of their papers we have counts for
3 papers
math.ST2025
Confidence Intervals for Linear Models with Arbitrary Noise Contamination
Dong Xie, Chao Gao, John Lafferty
We study confidence interval construction for linear regression under Huber's contamination model, where an unknown fraction of noise variables is arbitrarily corrupted. While robu…
cs.DS2025
Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
Ilias Diakonikolas, Chao Gao, Daniel M. Kane +2
We study the task of noiseless linear regression under Gaussian covariates in the presence of additive oblivious contamination. Specifically, we are given i.i.d.\ samples from a di…
stat.ML2010★ 38 cited
Union Support Recovery in Multi-task Learning
Mladen Kolar, John Lafferty, Larry Wasserman
We sharply characterize the performance of different penalization schemes for the problem of selecting the relevant variables in the multi-task setting. Previous work focuses on th…