12 citations · 45 across the 18 of their papers we have counts for
3 papers · 1 filter
Adaptive Sampling for Convex Regression
Max Simchowitz, Kevin Jamieson, Jordan W. Suchow +1
In this paper, we introduce the first principled adaptive-sampling procedure for learning a convex function in the norm, a problem that arises often in the behavioral an…
Learning a face space for experiments on human identity
Jordan W. Suchow, Joshua C. Peterson, Thomas L. Griffiths
Generative models of human identity and appearance have broad applicability to behavioral science and technology, but the exquisite sensitivity of human face perception means that…
Capturing human category representations by sampling in deep feature spaces
Joshua C. Peterson, Jordan W. Suchow, Krisha Aghi +2
Understanding how people represent categories is a core problem in cognitive science. Decades of research have yielded a variety of formal theories of categories, but validating th…