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Bayesian leave-one-out cross-validation for large data

Bayesian leave-one-out cross-validation for large data

24 April 2019
Måns Magnusson
Michael Riis Andersen
J. Jonasson
Aki Vehtari
ArXivPDFHTML

Papers citing "Bayesian leave-one-out cross-validation for large data"

4 / 4 papers shown
Title
Multi-agents based User Values Mining for Recommendation
Multi-agents based User Values Mining for Recommendation
L. Chen
Wei Yuan
Tong Chen
Xiangyu Zhao
Nguyen Quoc Viet Hung
Hongzhi Yin
OffRL
47
0
0
02 May 2025
VR-LENS: Super Learning-based Cybersickness Detection and Explainable
  AI-Guided Deployment in Virtual Reality
VR-LENS: Super Learning-based Cybersickness Detection and Explainable AI-Guided Deployment in Virtual Reality
Ripan Kumar Kundu
Osama Yahia Elsaid
Prasad Calyam
K. A. Hoque
18
10
0
03 Feb 2023
Conformal Bayesian Computation
Conformal Bayesian Computation
Edwin Fong
Chris Holmes
34
24
0
11 Jun 2021
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 M\mathcal{M}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
1