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07/01/2022
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
A determinantal point process (DPP) is an elegant model that assigns a p...
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03/25/2022
Origins of Low-dimensional Adversarial Perturbations
In this note, we initiate a rigorous study of the phenomenon of low-dime...
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06/17/2020
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes
Determinantal point processes (DPPs) have attracted significant attentio...
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02/23/2019
