A Widely Applicable Bayesian Information Criterion

31 August 2012

Papers citing "A Widely Applicable Bayesian Information Criterion"

29 / 29 papers shown

Title
Low-Loss Space in Neural Networks is Continuous and Fully Connected Yongding Tian Zaid Al-Ars Maksim Kitsak P. Hofstee 3DPC 26 0 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 40 0 0 29 Apr 2025
Modes of Sequence Models and Learning Coefficients Zhongtian Chen Daniel Murfet 84 1 0 25 Apr 2025
Causality Enhanced Origin-Destination Flow Prediction in Data-Scarce Cities Tao Feng Yunke Zhang Huandong Wang Yong Li 156 0 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 54 0 0 10 Jan 2025
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory Sumio Watanabe 38 1 0 31 May 2024
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
Gibbs-Based Information Criteria and the Over-Parameterized Regime Haobo Chen Yuheng Bu Greg Wornell 27 1 0 08 Jun 2023
An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions Xi Yang Ge Gao Min Chi OffRL 27 2 0 15 May 2023
Bayesian Free Energy of Deep ReLU Neural Network in Overparametrized Cases Shuya Nagayasu Sumio Watanabe BDL 38 2 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 41 8 0 21 Mar 2023
Recent Advances in Algebraic Geometry and Bayesian Statistics Sumio Watanabe 29 1 0 18 Nov 2022
Mathematical Theory of Bayesian Statistics for Unknown Information Source Sumio Watanabe 24 8 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 44 49 0 30 May 2022
Scalable Bayesian Approach for the DINA Q-matrix Estimation Combining Stochastic Optimization and Variational Inference Motonori Oka Kensuke Okada 18 6 0 20 May 2021
Assessing the Performance of Diagnostic Classification Models in Small Sample Contexts with Different Estimation Methods Motonori Oka Kensuke Okada 18 4 0 22 Apr 2021
A Latent Space Model for Multilayer Network Data Juan Sosa Brenda Betancourt BDL 18 18 0 18 Feb 2021
Asymptotic Behavior of Free Energy When Optimal Probability Distribution Is Not Unique Shuya Nagayasu Sumio Watanabe 16 7 0 15 Dec 2020
High-dimensional modeling of spatial and spatio-temporal conditional extremes using INLA and Gaussian Markov random fields Emma S. Simpson Thomas Opitz J. Wadsworth 14 15 0 09 Nov 2020
Deep Learning is Singular, and That's Good Daniel Murfet Susan Wei Biwei Huang Hui Li Jesse Gell-Redman T. Quella UQCV 24 26 0 22 Oct 2020
The Exact Asymptotic Form of Bayesian Generalization Error in Latent Dirichlet Allocation Naoki Hayashi 23 15 0 04 Aug 2020
Extended Stochastic Block Models with Application to Criminal Networks Sirio Legramanti T. Rigon Daniele Durante David B. Dunson 35 21 0 16 Jul 2020
Bayesian Generalization Error of Poisson Mixture and Simplex Vandermonde Matrix Type Singularity Kenichiro Sato Sumio Watanabe 8 12 0 31 Dec 2019
Bayesian Multivariate Spatial Models for Lattice Data with INLA Francisco Palmí-Perales V. Gómez‐Rubio M. Martínez-Beneito 11 21 0 24 Sep 2019
Minimum Description Length Revisited Peter Grünwald Teemu Roos 20 64 0 21 Aug 2019
Subspace Inference for Bayesian Deep Learning Pavel Izmailov Wesley J. Maddox Polina Kirichenko T. Garipov Dmitry Vetrov A. Wilson UQCV BDL 35 142 0 17 Jul 2019
GPdoemd: a Python package for design of experiments for model discrimination Simon Olofsson Lukas Hebing Sebastian Niedenführ M. Deisenroth Ruth Misener 16 18 0 05 Oct 2018
Malware in the Future? Forecasting of Analyst Detection of Cyber Events J. Bakdash Steve E. Hutchinson Erin G. Zaroukian L. Marusich Saravanan Thirumuruganathan C. Sample Blaine Hoffman Gautam Das 28 35 0 11 Jul 2017
Maximizing the information learned from finite data selects a simple model Henry H. Mattingly M. Transtrum Michael C. Abbott B. Machta 22 44 0 02 May 2017