Author name: Joseph D. Ramsey

arXiv:2605.05743v2 Announce Type: replace
Abstract: Gaussian process (GP) marginal likelihood scores and kernel conditional independence tests are theoretically appealing for nonlinear causal discovery but computationally prohibitive at scale. We pres…

arXiv:2605.05743v1 Announce Type: new
Abstract: Gaussian process marginal likelihood scores and kernel conditional independence tests are theoretically appealing for nonlinear causal discovery but computationally prohibitive at scale. We present two c…