Scalable Logistic Gaussian Process Density Regression with Kinetic Langevin Sampling
arXiv:2610.09591v1 Announce Type: new Abstract: Conditional density estimation targets the full distribution of a response given covariates, as required, for example, for per-galaxy photometric redshifts. We develop a scalable Bayesian estimator based on the logistic Gaussian process. The log condi…
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- 2026-10-08 04:00 · arXiv stat.ML
Scalable Logistic Gaussian Process Density Regression with Kinetic Langevin Sampling