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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…
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…