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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.ML2023
Do algorithms and barriers for sparse principal component analysis extend to other structured settings?
Guanyi Wang, Mengqi Lou, Ashwin Pananjady
We study a principal component analysis problem under the spiked Wishart model in which the structure in the signal is captured by a class of union-of-subspace models. This general…