v1v2 (latest)

Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory

14 April 2010

Papers citing "Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory"

50 / 138 papers shown

Title
Bayesian Nonlinear Models for Repeated Measurement Data: An Overview, Implementation, and Applications Se Yoon Lee 96 19 0 28 Jan 2022
Big problems in spatio-temporal disease mapping: methods and software E. Orozco-Acosta A. Adin M. D. Ugarte 67 13 0 20 Jan 2022
Towards Modeling and Resolving Singular Parameter Spaces using Stratifolds Pascal Esser Frank Nielsen 29 2 0 07 Dec 2021
A generalization gap estimation for overparameterized models via the Langevin functional variance Akifumi Okuno Keisuke Yano 102 2 0 07 Dec 2021
Toward a Taxonomy of Trust for Probabilistic Machine Learning Tamara Broderick Andrew Gelman Rachael Meager Anna L. Smith Tian Zheng 79 11 0 05 Dec 2021
Warped Dynamic Linear Models for Time Series of Counts Brian King Daniel R. Kowal AI4TS 107 5 0 27 Oct 2021
PriorVAE: Encoding spatial priors with VAEs for small-area estimation Elizaveta Semenova Yidan Xu A. Howes T. Rashid Samir Bhatt Swapnil Mishra Seth Flaxman 55 12 0 20 Oct 2021
Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution D. Mork M. Kioumourtzoglou M. Weisskopf B. Coull A. Wilson 31 8 0 28 Sep 2021
Entropic Issues in Likelihood-Based OOD Detection Anthony L. Caterini Gabriel Loaiza-Ganem OODD 96 16 0 22 Sep 2021
Semiparametric Functional Factor Models with Bayesian Rank Selection Daniel R. Kowal A. Canale 131 16 0 04 Aug 2021
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs Changwoo J. Lee Z. Luo H. Sang 64 5 0 06 Jul 2021
Posterior Covariance Information Criterion for Weighted Inference Y. Iba Keisuke Yano 59 3 0 25 Jun 2021
A numerically stable online implementation and exploration of WAIC through variations of the predictive density, using NIMBLE Joshua E. Hug C. Paciorek 31 1 0 25 Jun 2021
True Few-Shot Learning with Language Models Ethan Perez Douwe Kiela Kyunghyun Cho 140 440 0 24 May 2021
Semi-Supervised Few-Shot Classification with Deep Invertible Hybrid Models Yusuke Ohtsubo Tetsu Matsukawa Einoshin Suzuki BDL DRL 48 1 0 22 May 2021
Scalable Bayesian Approach for the DINA Q-matrix Estimation Combining Stochastic Optimization and Variational Inference Motonori Oka Kensuke Okada 44 6 0 20 May 2021
Innovative Approaches in Soil Carbon Sequestration Modelling for Better Prediction with Limited Data M. Davoudabadi D. Pagendam Christopher C. Drovandi J. Baldock Gentry White 26 6 0 11 May 2021
Assessing the Performance of Diagnostic Classification Models in Small Sample Contexts with Different Estimation Methods Motonori Oka Kensuke Okada 33 4 0 22 Apr 2021
A Latent Space Model for Multilayer Network Data Juan Sosa Brenda Betancourt BDL 58 20 0 18 Feb 2021
Choice modelling in the age of machine learning -- discussion paper Sander van Cranenburgh S. Wang A. Vij Francisco Câmara Pereira J. Walker 78 96 0 28 Jan 2021
Flexible Validity Conditions for the Multivariate Matérn Covariance in any Spatial Dimension and for any Number of Components Xavier Emery Emilio Porcu P. White 28 2 0 11 Jan 2021
Asymptotic Behavior of Free Energy When Optimal Probability Distribution Is Not Unique Shuya Nagayasu Sumio Watanabe 49 7 0 15 Dec 2020
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization Joshua C. Chang P. Fletcher Ju Han Ted L.Chang Shashaank Vattikuti Bart Desmet Ayah Zirikly Carson C. Chow 37 4 0 08 Dec 2020
Testing for Typicality with Respect to an Ensemble of Learned Distributions F. Laine Claire Tomlin 54 0 0 11 Nov 2020
Bigeminal Priors Variational auto-encoder Xuming Ran Mingkun Xu Qi Xu Huihui Zhou Quanying Liu 20 3 0 05 Oct 2020
A General Bayesian Model for Heteroskedastic Data with Fully Conjugate Full-Conditional Distributions Paul A. Parker S. Holan S. Wills 41 13 0 28 Sep 2020
Posterior Averaging Information Criterion Shouhao Zhou 21 4 0 19 Sep 2020
Efficient Bayesian Structural Equation Modeling in Stan Edgar C. Merkle Ellen E. Fitzsimmons J. Uanhoro Ben Goodrich 30 52 0 18 Aug 2020
The Exact Asymptotic Form of Bayesian Generalization Error in Latent Dirichlet Allocation Naoki Hayashi 76 16 0 04 Aug 2020
Extended Stochastic Block Models with Application to Criminal Networks Sirio Legramanti T. Rigon Daniele Durante David B. Dunson 68 22 0 16 Jul 2020
Scalable Bayesian modeling for smoothing disease risks in large spatial data sets E. Orozco-Acosta A. Adin M. D. Ugarte 58 2 0 15 Jul 2020
$Bayesian model selection in the $\mathcal{M}$-open setting -- Approximate posterior inference and probability-proportional-to-size subsampling for efficient large-scale leave-one-out cross-validation$ Bayesian model selection in the $\mathcal{M}$ -open setting -- Approximate posterior inference and probability-proportional-to-size subsampling for efficient large-scale leave-one-out cross-validation Riko Kelter 60 0 0 27 May 2020
varstan: An R package for Bayesian analysis of structured time series models with Stan Izhar Asael Alonzo Matamoros C. A. C. Torres 20 3 0 20 May 2020
Relevance Vector Machine with Weakly Informative Hyperprior and Extended Predictive Information Criterion Kazuaki Murayama Shuichi Kawano 37 0 0 07 May 2020
Bayesian Survival Analysis Using the rstanarm R Package S. Brilleman E. Elçi A. Bayer Generable Inc 26 51 0 22 Feb 2020
On Bayesian inference for the Extended Plackett-Luce model S. R. Johnson D. Henderson R. Boys 21 4 0 14 Feb 2020
Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling B. V. Opheusden Luigi Acerbi W. Ma 67 37 0 12 Jan 2020
Intrinsic regularization effect in Bayesian nonlinear regression scaled by observed data Satoru Tokuda Kenji Nagata M. Okada 155 1 0 05 Jan 2020
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection Erik A. Daxberger José Miguel Hernández-Lobato UQCV 103 63 0 11 Dec 2019
Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models Joshua C. Chang Shashaank Vattikuti Carson C. Chow 46 6 0 05 Dec 2019
Adaptive Bayesian Spectral Analysis of High-dimensional Nonstationary Time Series Zeda Li Ori Rosen Fabio Ferrarelli R. Krafty AI4TS 20 7 0 26 Oct 2019
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond) Nikolaus Umlauf Nadja Klein T. Simon A. Zeileis 39 35 0 25 Sep 2019
Minimum Description Length Revisited Peter Grünwald Teemu Roos 147 66 0 21 Aug 2019
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming Franklin Abodo Andrew Berthaume Stephen Zitzow-Childs Leonardo Bobadilla 29 9 0 07 Aug 2019
Integrated Nested Laplace Approximations (INLA) S. Martino A. Riebler 89 54 0 02 Jul 2019
Simultaneous Transformation and Rounding (STAR) Models for Integer-Valued Data Daniel R. Kowal A. Canale SyDa 65 19 0 27 Jun 2019
Estimating Real Log Canonical Thresholds T. Imai 52 7 0 04 Jun 2019
On the marginal likelihood and cross-validation Edwin Fong Chris Holmes UQCV 129 111 0 21 May 2019
Information criteria for non-normalized models Takeru Matsuda Masatoshi Uehara Aapo Hyvarinen 50 10 0 15 May 2019
Bayesian leave-one-out cross-validation for large data Måns Magnusson Michael Riis Andersen J. Jonasson Aki Vehtari 111 26 0 24 Apr 2019