Continuous-depth Deep Gaussian Processes
arXiv:2610.30890v1 Announce Type: new Abstract: Deep Gaussian processes (DGPs) are appealing Bayesian regression models, but their standard discrete-depth parameterization often becomes harder to optimize as depth grows. We argue that depth is better treated as a latent continuous evolution than as…
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- 2026-10-23 04:00 · arXiv stat.ML
Continuous-depth Deep Gaussian Processes