3 papers
stat.ML2023
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning
Austin Xu, Andrew D. McRae, Jingyan Wang +2
We introduce a new type of query mechanism for collecting human feedback, called the perceptual adjustment query ( PAQ). Being both informative and cognitively lightweight, the PAQ…
math.OC2023
Benign landscapes of low-dimensional relaxations for orthogonal synchronization on general graphs
Andrew D. McRae, Nicolas Boumal
Orthogonal group synchronization is the problem of estimating elements from the orthogonal group given some relative measurements $R_{ij} \appro…
stat.ML2020
Sample complexity and effective dimension for regression on manifolds
Andrew McRae, Justin Romberg, Mark Davenport
We consider the theory of regression on a manifold using reproducing kernel Hilbert space methods. Manifold models arise in a wide variety of modern machine learning problems, and…