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• W2897612047 abstract "We study the Gibbs sampling algorithm for continuous determinantal point processes. We show that, given a warm start, the Gibbs sampler generates a random sample from a continuous $k$-DPP defined on a $d$-dimensional domain by only taking $text{poly}(k)$ number of steps. As an application, we design an algorithm to generate random samples from $k$-DPPs defined by a spherical Gaussian kernel on a unit sphere in $d$-dimensions, $mathbb{S}^{d-1}$ in time polynomial in $k,d$." @default.
• W2897612047 created "2018-10-26" @default.
• W2897612047 creator A5017101724 @default.
• W2897612047 creator A5064870917 @default.
• W2897612047 date "2018-10-20" @default.
• W2897612047 modified "2023-09-27" @default.
• W2897612047 title "A Polynomial Time MCMC Method for Sampling from Continuous DPPs." @default.
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