On the marginal likelihood and cross-validation

On the marginal likelihood and cross-validation

21 May 2019

Chris Holmes

Papers citing "On the marginal likelihood and cross-validation"

16 / 16 papers shown

Title
Spectral information criterion for automatic elbow detection Luca Martino Roberto San Millán-Castillo E. Morgado 25 9 0 17 Aug 2023
In-Context Learning Learns Label Relationships but Is Not Conventional Learning Jannik Kossen Y. Gal Tom Rainforth 32 27 0 23 Jul 2023
The Interpolating Information Criterion for Overparameterized Models Liam Hodgkinson Christopher van der Heide Roberto Salomone Fred Roosta Michael W. Mahoney 16 7 0 15 Jul 2023
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard E. Turner L. Yao BDL 70 24 0 01 Sep 2022
Scale invariant process regression: Towards Bayesian ML with minimal assumptions Matthias Wieler 8 0 0 22 Aug 2022
Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Interpolation Toni Karvonen 17 1 0 10 Mar 2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization Sanae Lotfi Pavel Izmailov Gregory W. Benton Micah Goldblum A. Wilson UQCV BDL 52 56 0 23 Feb 2022
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations Alexander Immer Tycho F. A. van der Ouderaa Gunnar Rätsch Vincent Fortuin Mark van der Wilk BDL 24 44 0 22 Feb 2022
Efficient computation of the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes Augustin Chevallier F. Cazals Paul Fearnhead 9 13 0 18 Feb 2022
The no-free-lunch theorems of supervised learning T. Sterkenburg Peter Grünwald FedML 6 55 0 09 Feb 2022
Adaptation of the Tuning Parameter in General Bayesian Inference with Robust Divergence S. Yonekura S. Sugasawa 17 23 0 13 Jun 2021
Conformal Bayesian Computation Edwin Fong Chris Holmes 36 24 0 11 Jun 2021
Scalable Cross Validation Losses for Gaussian Process Models M. Jankowiak Geoff Pleiss 10 6 0 24 May 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 29 124 0 14 May 2021
Marginal likelihood computation for model selection and hypothesis testing: an extensive review F. Llorente Luca Martino D. Delgado J. Lopez-Santiago 19 83 0 17 May 2020
When are Bayesian model probabilities overconfident? O. Oelrich S. Ding Måns Magnusson Aki Vehtari M. Villani 11 17 0 09 Mar 2020