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Holes in Bayesian Statistics
v1v2 (latest)

Holes in Bayesian Statistics

Journal of Physics G: Nuclear and Particle Physics (J. Phys. G), 2020
15 February 2020
Andrew Gelman
Yuling Yao
ArXiv (abs)PDFHTML

Papers citing "Holes in Bayesian Statistics"

10 / 10 papers shown
Amortized variational transdimensional inference
Amortized variational transdimensional inference
Laurence Davies
Dan Mackinlay
Rafael Oliveira
Scott A. Sisson
DRLBDL
495
1
0
05 Jun 2025
Predictive variational inference: Learn the predictively optimal posterior distribution
Predictive variational inference: Learn the predictively optimal posterior distribution
Jinlin Lai
Yuling Yao
BDL
310
2
0
18 Oct 2024
Grand Challenges in Bayesian Computation
Grand Challenges in Bayesian Computation
Anirban Bhattacharya
Antonio Linero
Chris. J. Oates
204
3
0
01 Oct 2024
Properly constrained reference priors decay rates for efficient and
  robust posterior inference
Properly constrained reference priors decay rates for efficient and robust posterior inference
Antoine Van Biesbroeck
94
2
0
19 Sep 2024
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs
  with Stochastic Support
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic SupportInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Tim Reichelt
C.-H. Luke Ong
Tom Rainforth
234
0
0
23 Oct 2023
Certified Dimension Reduction for Bayesian Updating with the
  Cross-Entropy Method
Certified Dimension Reduction for Bayesian Updating with the Cross-Entropy Method
Max Ehre
Rafael Flock
M. Fußeder
I. Papaioannou
D. Štraub
152
3
0
07 Jun 2022
Feature Space Particle Inference for Neural Network Ensembles
Feature Space Particle Inference for Neural Network EnsemblesInternational Conference on Machine Learning (ICML), 2022
Shingo Yashima
Teppei Suzuki
Kohta Ishikawa
Ikuro Sato
Rei Kawakami
BDL
239
12
0
02 Jun 2022
Induction, Popper, and machine learning
Induction, Popper, and machine learning
Bruce Nielson
Daniel C. Elton
AI4CE
126
2
0
02 Oct 2021
Priors in Bayesian Deep Learning: A Review
Priors in Bayesian Deep Learning: A ReviewInternational Statistical Review (ISR), 2021
Vincent Fortuin
UQCVBDL
452
159
0
14 May 2021
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of
  Multimodal Posteriors
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors
Yuling Yao
Aki Vehtari
Andrew Gelman
363
73
0
22 Jun 2020
1
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