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Practical Bayesian model evaluation using leave-one-out cross-validation
  and WAIC

Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

16 July 2015
Aki Vehtari
Andrew Gelman
Jonah Gabry
ArXivPDFHTML

Papers citing "Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC"

50 / 168 papers shown
Title
Comparing Exploration-Exploitation Strategies of LLMs and Humans: Insights from Standard Multi-armed Bandit Tasks
Comparing Exploration-Exploitation Strategies of LLMs and Humans: Insights from Standard Multi-armed Bandit Tasks
Ziyuan Zhang
Darcy Wang
Ningyuan Chen
Rodrigo Mansur
Vahid Sarhangian
24
0
0
15 May 2025
CoCoAFusE: Beyond Mixtures of Experts via Model Fusion
CoCoAFusE: Beyond Mixtures of Experts via Model Fusion
Aurelio Raffa Ugolini
M. Tanelli
Valentina Breschi
MoE
24
0
0
02 May 2025
Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
Katie Matton
Robert Osazuwa Ness
John Guttag
Emre Kıcıman
21
2
0
19 Apr 2025
MicroNAS: An Automated Framework for Developing a Fall Detection System
MicroNAS: An Automated Framework for Developing a Fall Detection System
Seyed Mojtaba Mohasel
John Sheppard
Lindsey K. Molina
Richard R. Neptune
Shane R. Wurdeman
Corey A. Pew
27
1
0
10 Apr 2025
Scalable Expectation Estimation with Subtractive Mixture Models
Scalable Expectation Estimation with Subtractive Mixture Models
Lena Zellinger
Nicola Branchini
Victor Elvira
Antonio Vergari
45
0
0
27 Mar 2025
The Architecture and Evaluation of Bayesian Neural Networks
The Architecture and Evaluation of Bayesian Neural Networks
Alisa Sheinkman
Sara Wade
UQCV
BDL
72
0
0
14 Mar 2025
Semantics drives analogical change in Germanic strong verb paradigms: a phylogenetic study
Semantics drives analogical change in Germanic strong verb paradigms: a phylogenetic study
Alexandru Craevschi
Sarah Babinski
Chundra Cathcart
45
0
0
24 Feb 2025
SequentialSamplingModels.jl: Simulating and Evaluating Cognitive Models
  of Response Times in Julia
SequentialSamplingModels.jl: Simulating and Evaluating Cognitive Models of Response Times in Julia
Kianté Fernandez
Dominique Makowski
Christopher Fisher
24
0
0
10 Nov 2024
CriticAL: Critic Automation with Language Models
CriticAL: Critic Automation with Language Models
Michael Y. Li
Vivek Vajipey
Noah D. Goodman
Emily B. Fox
32
0
0
10 Nov 2024
ELBOing Stein: Variational Bayes with Stein Mixture Inference
ELBOing Stein: Variational Bayes with Stein Mixture Inference
Ola Rønning
Eric T. Nalisnick
Christophe Ley
Padhraic Smyth
Thomas Hamelryck
BDL
52
1
0
30 Oct 2024
Bayesian shared parameter joint models for heterogeneous populations
Bayesian shared parameter joint models for heterogeneous populations
Sida Chen
Danilo Alvares
Marco Palma
Jessica K. Barrett
29
0
0
29 Oct 2024
pyhgf: A neural network library for predictive coding
pyhgf: A neural network library for predictive coding
Nicolas Legrand
Lilian A. E. Weber
Peter Thestrup Waade
Anna Hedvig Møller Daugaard
Mojtaba Khodadadi
Nace Mikuš
C. Mathys
AI4CE
23
0
0
11 Oct 2024
Gradient-free variational learning with conditional mixture networks
Gradient-free variational learning with conditional mixture networks
Conor Heins
Hao Wu
Dimitrije Marković
Alexander Tschantz
Jeff Beck
Christopher L. Buckley
BDL
31
2
0
29 Aug 2024
A Bayesian approach for fitting semi-Markov mixture models of cancer
  latency to individual-level data
A Bayesian approach for fitting semi-Markov mixture models of cancer latency to individual-level data
Raphaël Morsomme
Shannon Holloway
Marc Ryser
Jason Xu
13
0
0
26 Aug 2024
Amortized Bayesian Multilevel Models
Amortized Bayesian Multilevel Models
Daniel Habermann
Marvin Schmitt
Lars Kühmichel
Andreas Bulling
Stefan T. Radev
Paul-Christian Burkner
67
3
0
23 Aug 2024
Predictive performance of power posteriors
Predictive performance of power posteriors
Yann McLatchie
Edwin Fong
David T. Frazier
Jeremias Knoblauch
27
2
0
16 Aug 2024
Bayesian calibration of stochastic agent based model via random forest
Bayesian calibration of stochastic agent based model via random forest
Connor Robertson
C. Safta
Nicholson T. Collier
J. Ozik
Jaideep Ray
41
5
0
27 Jun 2024
Proximal Interacting Particle Langevin Algorithms
Proximal Interacting Particle Langevin Algorithms
Paula Cordero Encinar
F. R. Crucinio
O. Deniz Akyildiz
25
3
0
20 Jun 2024
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory
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 ARR2 prior: flexible predictive prior definition for Bayesian
  auto-regressions
The ARR2 prior: flexible predictive prior definition for Bayesian auto-regressions
David Kohns
Noa Kallioinen
Yann McLatchie
Aki Vehtari
20
0
0
30 May 2024
Understanding and mitigating difficulties in posterior predictive
  evaluation
Understanding and mitigating difficulties in posterior predictive evaluation
Abhinav Agrawal
Justin Domke
UQCV
42
0
0
30 May 2024
BayesBlend: Easy Model Blending using Pseudo-Bayesian Model Averaging,
  Stacking and Hierarchical Stacking in Python
BayesBlend: Easy Model Blending using Pseudo-Bayesian Model Averaging, Stacking and Hierarchical Stacking in Python
Nathaniel Haines
Conor Goold
MoMe
15
1
0
30 Apr 2024
Why not a thin plate spline for spatial models? A comparative study
  using Bayesian inference
Why not a thin plate spline for spatial models? A comparative study using Bayesian inference
J. Cavieres
Paula Moraga
Cole C. Monnahan
18
0
0
19 Apr 2024
Data-driven subgrouping of patient trajectories with chronic diseases:
  Evidence from low back pain
Data-driven subgrouping of patient trajectories with chronic diseases: Evidence from low back pain
Christof Naumzik
A. Kongsted
W. Vach
Stefan Feuerriegel
CML
19
0
0
16 Apr 2024
Supporting Bayesian modelling workflows with iterative filtering for
  multiverse analysis
Supporting Bayesian modelling workflows with iterative filtering for multiverse analysis
Anna Elisabeth Riha
Nikolas Siccha
Antti Oulasvirta
Aki Vehtari
27
0
0
02 Apr 2024
Automated Statistical Model Discovery with Language Models
Automated Statistical Model Discovery with Language Models
Michael Y. Li
Emily B. Fox
Noah D. Goodman
42
14
0
27 Feb 2024
Gradient-flow adaptive importance sampling for Bayesian leave one out
  cross-validation for sigmoidal classification models
Gradient-flow adaptive importance sampling for Bayesian leave one out cross-validation for sigmoidal classification models
Joshua C. Chang
Xiangting Li
Shixin Xu
Hao-Ren Yao
Julia Porcino
Carson C. Chow
21
0
0
13 Feb 2024
The Impact of Elicitation and Contrasting Narratives on Engagement,
  Recall and Attitude Change with News Articles Containing Data Visualization
The Impact of Elicitation and Contrasting Narratives on Engagement, Recall and Attitude Change with News Articles Containing Data Visualization
Milad Rogha
Subham Sah
Alireza Karduni
Douglas Markant
Wenwen Dou
12
4
0
10 Jan 2024
A Representative Study on Human Detection of Artificially Generated
  Media Across Countries
A Representative Study on Human Detection of Artificially Generated Media Across Countries
Joel Frank
Franziska Herbert
Jonas Ricker
Lea Schonherr
Thorsten Eisenhofer
Asja Fischer
Markus Dürmuth
Thorsten Holz
33
12
0
10 Dec 2023
Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
Philipp Reiser
Javier Enrique Aguilar
A. Guthke
Paul-Christian Burkner
36
2
0
08 Dec 2023
Bayesian inference of a new Mallows model for characterising symptom
  sequences applied in primary progressive aphasia
Bayesian inference of a new Mallows model for characterising symptom sequences applied in primary progressive aphasia
B. Taylor
Cameron Shand
C. Hardy
N. Oxtoby
11
0
0
22 Nov 2023
Co-data Learning for Bayesian Additive Regression Trees
Co-data Learning for Bayesian Additive Regression Trees
Jeroen M. Goedhart
Thomas Klausch
Jurriaan Janssen
M. A. van de Wiel
9
1
0
16 Nov 2023
An Embedded Diachronic Sense Change Model with a Case Study from Ancient
  Greek
An Embedded Diachronic Sense Change Model with a Case Study from Ancient Greek
Schyan Zafar
Geoff K. Nicholls
27
1
0
01 Nov 2023
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs
  with Stochastic Support
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support
Tim Reichelt
C.-H. Luke Ong
Tom Rainforth
27
0
0
23 Oct 2023
Sensitivity-Aware Amortized Bayesian Inference
Sensitivity-Aware Amortized Bayesian Inference
Lasse Elsemüller
Hans Olischläger
Marvin Schmitt
Paul-Christian Burkner
Ullrich Kothe
Stefan T. Radev
23
7
0
17 Oct 2023
Efficient estimation and correction of selection-induced bias with order
  statistics
Efficient estimation and correction of selection-induced bias with order statistics
Yann McLatchie
Aki Vehtari
19
2
0
07 Sep 2023
Spectral information criterion for automatic elbow detection
Spectral information criterion for automatic elbow detection
Luca Martino
Roberto San Millán-Castillo
E. Morgado
30
9
0
17 Aug 2023
Universal and Automatic Elbow Detection for Learning the Effective
  Number of Components in Model Selection Problems
Universal and Automatic Elbow Detection for Learning the Effective Number of Components in Model Selection Problems
E. Morgado
Luca Martino
Roberto San Millán-Castillo
13
11
0
17 Aug 2023
Identifiability and Falsifiability: Two Challenges for Bayesian Model
  Expansion
Identifiability and Falsifiability: Two Challenges for Bayesian Model Expansion
Collin Cademartori
21
0
0
26 Jul 2023
A Bayesian Programming Approach to Car-following Model Calibration and
  Validation using Limited Data
A Bayesian Programming Approach to Car-following Model Calibration and Validation using Limited Data
Franklin Abodo
20
0
0
19 Jul 2023
Intersectionality in Conversational AI Safety: How Bayesian Multilevel
  Models Help Understand Diverse Perceptions of Safety
Intersectionality in Conversational AI Safety: How Bayesian Multilevel Models Help Understand Diverse Perceptions of Safety
Christopher Homan
Greg Serapio-García
Lora Aroyo
Mark Díaz
Alicia Parrish
Vinodkumar Prabhakaran
Alex S. Taylor
Ding Wang
22
9
0
20 Jun 2023
Computational methods for fast Bayesian model assessment via calibrated
  posterior p-values
Computational methods for fast Bayesian model assessment via calibrated posterior p-values
S. Paganin
P. de Valpine
11
0
0
08 Jun 2023
Capturing Humans' Mental Models of AI: An Item Response Theory Approach
Capturing Humans' Mental Models of AI: An Item Response Theory Approach
Markelle Kelly
Aakriti Kumar
Padhraic Smyth
M. Steyvers
29
13
0
15 May 2023
Locking and Quacking: Stacking Bayesian model predictions by log-pooling
  and superposition
Locking and Quacking: Stacking Bayesian model predictions by log-pooling and superposition
Yuling Yao
L. Carvalho
Diego Mesquita
Yann McLatchie
16
3
0
12 May 2023
Combining experimental and observational data through a power likelihood
Combining experimental and observational data through a power likelihood
Xi Lin
J. Tarp
R. Evans
CML
19
5
0
05 Apr 2023
A Practitioner's Guide to Bayesian Inference in Pharmacometrics using
  Pumas
A Practitioner's Guide to Bayesian Inference in Pharmacometrics using Pumas
Mohamed Tarek
J. Storópoli
Casey B. Davis
C. Elrod
Julius Krumbiegel
Chris Rackauckas
V. Ivaturi
GP
18
3
0
31 Mar 2023
A Spatially Correlated Competing Risks Time-to-Event Model for
  Supercomputer GPU Failure Data
A Spatially Correlated Competing Risks Time-to-Event Model for Supercomputer GPU Failure Data
Jie Min
Yili Hong
W. Meeker
G. Ostrouchov
18
2
0
29 Mar 2023
JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models
JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models
Stefan T. Radev
Marvin Schmitt
Valentin Pratz
Umberto Picchini
Ullrich Kothe
Paul-Christian Burkner
BDL
34
29
0
17 Feb 2023
When do data visualizations persuade? The impact of prior attitudes on
  learning about correlations from scatterplot visualizations
When do data visualizations persuade? The impact of prior attitudes on learning about correlations from scatterplot visualizations
D. Markant
Milad Rogha
Alireza Karduni
Ryan Wesslen
Wenwen Dou
11
10
0
07 Feb 2023
The Fewer Splits are Better: Deconstructing Readability in Sentence
  Splitting
The Fewer Splits are Better: Deconstructing Readability in Sentence Splitting
Tadashi Nomoto
31
3
0
02 Feb 2023
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