On the marginal likelihood and cross-validation

21 May 2019

Chris Holmes

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

20 / 20 papers shown

Title
Spectral information criterion for automatic elbow detection Luca Martino Roberto San Millán-Castillo E. Morgado 38 9 0 17 Aug 2023
Universal and Automatic Elbow Detection for Learning the Effective Number of Components in Model Selection Problems E. Morgado Luca Martino Roberto San Millán-Castillo 26 11 0 17 Aug 2023
In-Context Learning Learns Label Relationships but Is Not Conventional Learning Jannik Kossen Y. Gal Tom Rainforth 40 28 0 23 Jul 2023
The Interpolating Information Criterion for Overparameterized Models Liam Hodgkinson Christopher van der Heide Roberto Salomone Fred Roosta Michael W. Mahoney 20 7 0 15 Jul 2023
Sharp Calibrated Gaussian Processes A. Capone Geoff Pleiss Sandra Hirche UQCV 42 4 0 23 Feb 2023
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 76 24 0 01 Sep 2022
Scale invariant process regression: Towards Bayesian ML with minimal assumptions Matthias Wieler 13 0 0 22 Aug 2022
Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Interpolation Toni Karvonen 24 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 39 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 27 13 0 18 Feb 2022
The no-free-lunch theorems of supervised learning T. Sterkenburg Peter Grünwald FedML 24 56 0 09 Feb 2022
Adaptation of the Tuning Parameter in General Bayesian Inference with Robust Divergence S. Yonekura S. Sugasawa 27 23 0 13 Jun 2021
Conformal Bayesian Computation Edwin Fong Chris Holmes 44 24 0 11 Jun 2021
Scalable Cross Validation Losses for Gaussian Process Models M. Jankowiak Geoff Pleiss 20 6 0 24 May 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 31 124 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 29 83 0 17 May 2020
When are Bayesian model probabilities overconfident? O. Oelrich S. Ding Måns Magnusson Aki Vehtari M. Villani 16 17 0 09 Mar 2020
Modular Meta-Learning with Shrinkage Yutian Chen A. Friesen Feryal M. P. Behbahani Arnaud Doucet David Budden Matthew W. Hoffman Nando de Freitas KELM OffRL 23 35 0 12 Sep 2019
Predicting Brazilian court decisions André Lage-Freitas H. Allende-Cid O. Santana Lívia de Oliveira-Lage ELM 6 40 0 20 Apr 2019