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
Towards Modeling and Resolving Singular Parameter Spaces using Stratifolds P. Esser Frank Nielsen 9 2 0 07 Dec 2021
A generalization gap estimation for overparameterized models via the Langevin functional variance Akifumi Okuno Keisuke Yano 17 1 0 07 Dec 2021
Toward a Taxonomy of Trust for Probabilistic Machine Learning Tamara Broderick Andrew Gelman Rachael Meager Anna L. Smith Tian Zheng 21 9 0 05 Dec 2021
Warped Dynamic Linear Models for Time Series of Counts Brian King Daniel R. Kowal AI4TS 22 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 9 11 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 11 6 0 28 Sep 2021
Entropic Issues in Likelihood-Based OOD Detection Anthony L. Caterini G. Loaiza-Ganem OODD 24 15 0 22 Sep 2021
Semiparametric Functional Factor Models with Bayesian Rank Selection Daniel R. Kowal A. Canale 18 15 0 04 Aug 2021
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs Changwoo J. Lee Z. Luo H. Sang 12 5 0 06 Jul 2021
Posterior Covariance Information Criterion for Weighted Inference Y. Iba Keisuke Yano 11 2 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 17 1 0 25 Jun 2021
True Few-Shot Learning with Language Models Ethan Perez Douwe Kiela Kyunghyun Cho 8 428 0 24 May 2021
Semi-Supervised Few-Shot Classification with Deep Invertible Hybrid Models Yusuke Ohtsubo Tetsu Matsukawa Einoshin Suzuki BDL DRL 6 0 0 22 May 2021
Scalable Bayesian Approach for the DINA Q-matrix Estimation Combining Stochastic Optimization and Variational Inference Motonori Oka Kensuke Okada 13 5 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 14 5 0 11 May 2021
Assessing the Performance of Diagnostic Classification Models in Small Sample Contexts with Different Estimation Methods Motonori Oka Kensuke Okada 8 4 0 22 Apr 2021
A Latent Space Model for Multilayer Network Data Juan Sosa Brenda Betancourt BDL 13 18 0 18 Feb 2021
Choice modelling in the age of machine learning -- discussion paper S. Cranenburgh S. Wang A. Vij Francisco Câmara Pereira J. Walker 25 87 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 11 2 0 11 Jan 2021
Asymptotic Behavior of Free Energy When Optimal Probability Distribution Is Not Unique Shuya Nagayasu Sumio Watanabe 14 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 4 4 0 08 Dec 2020
Testing for Typicality with Respect to an Ensemble of Learned Distributions F. Laine Claire Tomlin 9 0 0 11 Nov 2020
Bigeminal Priors Variational auto-encoder Xuming Ran Mingkun Xu Qi Xu Huihui Zhou Quanying Liu 6 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 4 12 0 28 Sep 2020
Posterior Averaging Information Criterion Shouhao Zhou 9 4 0 19 Sep 2020
Efficient Bayesian Structural Equation Modeling in Stan Edgar C. Merkle Ellen E. Fitzsimmons J. Uanhoro Ben Goodrich 15 49 0 18 Aug 2020
The Exact Asymptotic Form of Bayesian Generalization Error in Latent Dirichlet Allocation Naoki Hayashi 18 15 0 04 Aug 2020
Extended Stochastic Block Models with Application to Criminal Networks Sirio Legramanti T. Rigon Daniele Durante David B. Dunson 30 21 0 16 Jul 2020
Scalable Bayesian modeling for smoothing disease risks in large spatial data sets E. Orozco-Acosta A. Adin M. D. Ugarte 14 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 6 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 8 3 0 20 May 2020
Relevance Vector Machine with Weakly Informative Hyperprior and Extended Predictive Information Criterion Kazuaki Murayama Shuichi Kawano 12 0 0 07 May 2020
Bayesian Survival Analysis Using the rstanarm R Package S. Brilleman E. Elçi A. Bayer Generable Inc 12 50 0 22 Feb 2020
On Bayesian inference for the Extended Plackett-Luce model S. R. Johnson D. Henderson R. Boys 9 4 0 14 Feb 2020
Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling B. V. Opheusden Luigi Acerbi W. Ma 12 37 0 12 Jan 2020
Intrinsic regularization effect in Bayesian nonlinear regression scaled by observed data Satoru Tokuda Kenji Nagata M. Okada 24 1 0 05 Jan 2020
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection Erik A. Daxberger José Miguel Hernández-Lobato UQCV 11 63 0 11 Dec 2019
Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models Joshua C. Chang Shashaank Vattikuti Carson C. Chow 17 6 0 05 Dec 2019
Adaptive Bayesian Spectral Analysis of High-dimensional Nonstationary Time Series Zeda Li Ori Rosen Fabio Ferrarelli R. Krafty AI4TS 11 7 0 26 Oct 2019
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond) Nikolaus Umlauf Nadja Klein T. Simon A. Zeileis 6 34 0 25 Sep 2019
Minimum Description Length Revisited Peter Grünwald Teemu Roos 15 64 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 11 9 0 07 Aug 2019
Integrated Nested Laplace Approximations (INLA) S. Martino A. Riebler 14 53 0 02 Jul 2019
Simultaneous Transformation and Rounding (STAR) Models for Integer-Valued Data Daniel R. Kowal A. Canale SyDa 15 18 0 27 Jun 2019
Estimating Real Log Canonical Thresholds T. Imai 8 6 0 04 Jun 2019
On the marginal likelihood and cross-validation Edwin Fong Chris Holmes UQCV 17 110 0 21 May 2019
Information criteria for non-normalized models Takeru Matsuda Masatoshi Uehara Aapo Hyvarinen 14 10 0 15 May 2019
Bayesian leave-one-out cross-validation for large data Måns Magnusson Michael Riis Andersen J. Jonasson Aki Vehtari 11 26 0 24 Apr 2019
Approximate Bayesian Inference via Sparse grid Quadrature Evaluation for Hierarchical Models Joshua Hewitt J. Hoeting TPM 8 5 0 15 Apr 2019
Automated Model Selection with Bayesian Quadrature Henry Chai Jean-François Ton Roman Garnett Michael A. Osborne 9 11 0 26 Feb 2019