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cs.LG2021
Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time
Yu Cheng, Honghao Lin
We study the problem of learning Bayesian networks where an -fraction of the samples are adversarially corrupted. We focus on the fully-observable case where the underlying grap…
cs.LG2021
Learning-Augmented Sketches for Hessians
Yi Li, Honghao Lin, David P. Woodruff
Sketching is a dimensionality reduction technique where one compresses a matrix by linear combinations that are chosen at random. A line of work has shown how to sketch the Hessian…