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Found 3 papers, 0 papers with code
On the inability of Gaussian process regression to optimally learn compositional functions
We rigorously prove that deep Gaussian process priors can outperform Gaussian process priors if the target function has a compositional structure.
Reconfinement, localization and thermal monopoles in $SU(3)$ trace-deformed Yang-Mills theory
We show, by means of a finite size scaling analysis, that the reconfinement phase transition is first-order, like the usual $SU(3)$ thermal phase transition.
High Energy Physics - Lattice High Energy Physics - Theory
Nonparametric Bayesian inference for reversible multi-dimensional diffusions
We study nonparametric Bayesian models for reversible multi-dimensional diffusions with periodic drift.
Bayesian Inference
Statistics Theory
Numerical Analysis
Numerical Analysis
Probability
Statistics Theory
