148 citations · 217 across the 7 of their papers we have counts for
4 papers · 1 filter
Selecting the number of components in PCA via random signflips
David Hong, Yue Sheng, Edgar Dobriban
Principal component analysis (PCA) is a foundational tool in modern data analysis, and a crucial step in PCA is selecting the number of components to keep. However, classical selec…
Generic Properties of Koopman Eigenfunctions for Stable Fixed Points and Periodic Orbits
Matthew D. Kvalheim, David Hong, Shai Revzen
Our recent work established existence and uniqueness results for globally defined linearizing semiconjugacies for flows having a gl…
Provable tradeoffs in adversarially robust classification
Edgar Dobriban, Hamed Hassani, David Hong +1
It is well known that machine learning methods can be vulnerable to adversarially-chosen perturbations of their inputs. Despite significant progress in the area, foundational open…
Baseline Estimation of Commercial Building HVAC Fan Power Using Tensor Completion
Shunbo Lei, David Hong, Johanna L. Mathieu +1
Commercial building heating, ventilation, and air conditioning (HVAC) systems have been studied for providing ancillary services to power grids via demand response (DR). One critic…