A Widely Applicable Bayesian Information Criterion

31 August 2012

Papers citing "A Widely Applicable Bayesian Information Criterion"

50 / 87 papers shown

Title
An Asymptotic Equation Linking WAIC and WBIC in Singular Models Naoki Hayashi Takuro Kutsuna Sawa Takamuku 144 0 0 20 May 2025
Low-Loss Space in Neural Networks is Continuous and Fully Connected Yongding Tian Zaid Al-Ars Maksim Kitsak P. Hofstee 3DPC 116 1 0 05 May 2025
Sparse mixed linear modeling with anchor-based guidance for high-entropy alloy discovery Ryo Murakami Seiji Miura Akihiro Endo Satoshi Minamoto 101 0 0 29 Apr 2025
Modes of Sequence Models and Learning Coefficients Zhongtian Chen Daniel Murfet 128 1 0 25 Apr 2025
Emergence of Computational Structure in a Neural Network Physics Simulator Rohan Hitchcock Gary W. Delaney J. Manton Richard Scalzo Jingge Zhu 63 0 0 16 Apr 2025
Bayesian Semi-Parametric Spatial Dispersed Count Model for Precipitation Analysis Mahsa Nadifar Andriëtte Bekker M. Arashi Abel Ramoelo 53 0 0 24 Mar 2025
Causality Enhanced Origin-Destination Flow Prediction in Data-Scarce Cities Tao Feng Yunke Zhang Huandong Wang Yong Li 487 1 0 09 Mar 2025
Covariate Dependent Mixture of Bayesian Networks Román Marchant Dario Draca Gilad Francis Sahand Assadzadeh Mathew Varidel Frank Iorfino Sally Cripps CML 83 1 0 10 Jan 2025
Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient George Wang Jesse Hoogland Stan van Wingerden Zach Furman Daniel Murfet OffRL 86 9 0 03 Oct 2024
NGD converges to less degenerate solutions than SGD Moosa Saghir N. R. Raghavendra Zihe Liu Evan Ryan Gunter 54 0 0 07 Sep 2024
A computationally efficient procedure for combining ecological datasets by means of sequential consensus inference Mario Figueira David Conesa Antonio López-Quílez I. Paradinas 49 2 0 12 Jun 2024
Weak-Form Inference for Hybrid Dynamical Systems in Ecology Daniel Messenger Greg Dwyer Vanja M. Dukic 59 4 0 31 May 2024
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory Sumio Watanabe 104 1 0 31 May 2024
Determine the Number of States in Hidden Markov Models via Marginal Likelihood Yang Chen C. Fuh C. Kao 23 1 0 20 May 2024
Using Degeneracy in the Loss Landscape for Mechanistic Interpretability Lucius Bushnaq Jake Mendel Stefan Heimersheim Dan Braun Nicholas Goldowsky-Dill Kaarel Hänni Cindy Wu Marius Hobbhahn 86 7 0 17 May 2024
Learning under Singularity: An Information Criterion improving WBIC and sBIC Lirui Liu Joe Suzuki 82 0 0 20 Feb 2024
Joint Modeling of Multivariate Longitudinal and Survival Outcomes with the R package INLAjoint Denis Rustand J. van Niekerk E. Krainski Håvard Rue 41 2 0 13 Feb 2024
Perturbative partial moment matching and gradient-flow adaptive importance sampling transformations for Bayesian leave one out cross-validation Joshua C. Chang Xiangting Li Shixin Xu Hao-Ren Yao Julia Porcino Carson C. Chow 90 0 0 13 Feb 2024
Estimating the Local Learning Coefficient at Scale Zach Furman Edmund Lau 65 3 0 06 Feb 2024
Co-data Learning for Bayesian Additive Regression Trees Jeroen M. Goedhart Thomas Klausch Jurriaan Janssen M. A. van de Wiel 38 1 0 16 Nov 2023
Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data Saptarshi Roy Raymond K. W. Wong Yang Ni CML 32 2 0 31 Oct 2023
Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition Zhongtian Chen Edmund Lau Jake Mendel Susan Wei Daniel Murfet 61 15 0 10 Oct 2023
Efficient estimation and correction of selection-induced bias with order statistics Yann McLatchie Aki Vehtari 56 2 0 07 Sep 2023
The Interpolating Information Criterion for Overparameterized Models Liam Hodgkinson Christopher van der Heide Roberto Salomone Fred Roosta Michael W. Mahoney 75 9 0 15 Jul 2023
Bayesian variable selection using an informed reversible jump in imaging genetics: an application to schizophrenia D. Montcho D. Zuanetti Thierry Chekouo L. Milan 16 0 0 03 Jul 2023
Spatial modeling of extremes and an angular component Gaspard Tamagny M. Ribatet 8 0 0 15 Jun 2023
Gibbs-Based Information Criteria and the Over-Parameterized Regime Haobo Chen Yuheng Bu Greg Wornell 67 1 0 08 Jun 2023
An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions Xi Yang Ge Gao Min Chi OffRL 78 2 0 15 May 2023
Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis N. K. Chandra David B. Dunson Jason Xu CML 43 8 0 06 May 2023
Bayesian Free Energy of Deep ReLU Neural Network in Overparametrized Cases Shuya Nagayasu Sumio Watanabe BDL 81 3 0 28 Mar 2023
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices Jingyi Xu Tushar Vaidya Y. Blankenship Saket Chandra Zhangsheng Lai Kai Fong Ernest Chong 85 8 0 21 Mar 2023
Bayesian Generalization Error in Linear Neural Networks with Concept Bottleneck Structure and Multitask Formulation Naoki Hayashi Yoshihide Sawada UQCV BDL 64 3 0 16 Mar 2023
Censored Regression with Serially Correlated Errors: a Bayesian approach Rodney Sousa Isabel Pereira Maria Eduarda Silva Brendan P. M. McCabe 8 1 0 04 Jan 2023
Recent Advances in Algebraic Geometry and Bayesian Statistics Sumio Watanabe 84 1 0 18 Nov 2022
A Bayesian Semiparametric Method For Estimating Causal Quantile Effects Steven G. Xu Shu Yang Brian J. Reich CML 56 1 0 03 Nov 2022
Peer-group Behaviour Analytics of Windows Authentications Events Using Hierarchical Bayesian Modelling I. Hawryluk H. Hoeltgebaum Cole Sodja Tyler Lalicker Joshua Neil 38 0 0 20 Sep 2022
Bayesian order identification of ARMA models with projection predictive inference Yann McLatchie Asael Alonzo Matamoros David Kohns Aki Vehtari 48 1 0 31 Aug 2022
On the Influence of Enforcing Model Identifiability on Learning dynamics of Gaussian Mixture Models Pascal Esser Frank Nielsen 32 0 0 17 Jun 2022
Mathematical Theory of Bayesian Statistics for Unknown Information Source Sumio Watanabe 68 9 0 11 Jun 2022
Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning M. Ziatdinov Yongtao Liu K. Kelley Rama K Vasudevan Sergei V. Kalinin AI4CE 51 53 0 30 May 2022
Scalable Semi-Modular Inference with Variational Meta-Posteriors Chris U. Carmona Geoff K. Nicholls 51 11 0 01 Apr 2022
Gaussian quasi-information criteria for ergodic Lévy driven SDE Shoichi Eguchi Hiroki Masuda 22 5 0 08 Mar 2022
A pragmatic account of the weak evidence effect Samuel A. Barnett Thomas Griffiths Robert D. Hawkins AAML 40 8 0 07 Dec 2021
Towards Modeling and Resolving Singular Parameter Spaces using Stratifolds Pascal Esser Frank Nielsen 29 2 0 07 Dec 2021
MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders Daniel Dimanov E. Balaguer-Ballester Colin Singleton Shahin Rostami 36 7 0 07 Jun 2021
Video-rate multispectral imaging in laparoscopic surgery: First-in-human application Leonardo Ayala Sebastian J. Wirkert A. Vemuri T. Adler Silvia Seidlitz Sebastian Pirmann C. Engels D. Teber Lena Maier-Hein 58 25 0 28 May 2021
Informative Bayesian model selection for RR Lyrae star classifiers Francisco Pérez-Galarce K. Pichara P. Huijse M. Catelán Domingo Mery 29 1 0 24 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
Segmenting Hybrid Trajectories using Latent ODEs Ruian Shi Q. Morris BDL 50 6 0 09 May 2021
Assessing the Performance of Diagnostic Classification Models in Small Sample Contexts with Different Estimation Methods Motonori Oka Kensuke Okada 24 4 0 22 Apr 2021