Yuling Yao
Yuling Yao
Flatiron Institute
Zweryfikowany adres z flatironinstitute.org - Strona główna
Cytowane przez
Cytowane przez
loo: Efficient leave-one-out cross-validation and WAIC for Bayesian models
A Vehtari, J Gabry, Y Yao, A Gelman
R package. https://cran.r-project.org/web/packages/loo/index.html, 2018
Using stacking to average Bayesian predictive distributions
Y Yao, A Vehtari, D Simpson, A Gelman
Bayesian Analysis 13, 917--1003, 2018
Pareto smoothed importance sampling
A Vehtari, D Simpson, A Gelman, Y Yao, J Gabry
arXiv preprint arXiv:1507.02646, 2019
Bayesian workflow
A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, ...
arXiv preprint arXiv:2011.01808, 2020
Yes, but did it work?: Evaluating variational inference
Y Yao, A Vehtari, D Simpson, A Gelman
35th International Conference on Machine Learning (ICML), 2018
A Bayesian bird's eye view of ‘Replications of important results in social psychology’
M Marsman, FD Schönbrodt, RD Morey, Y Yao, A Gelman, ...
Royal Society open science 4 (1), 160426, 2017
Limitations of “Limitations of Bayesian leave-one-out cross-validation for model selection”
A Vehtari, DP Simpson, Y Yao, A Gelman
Computational Brain & Behavior 2, 22-27, 2019
Holes in Bayesian statistics
A Gelman, Y Yao
Journal of Physics G: Nuclear and Particle Physics, 2020
Stacking for non-mixing Bayesian computations: The curse and blessing of multimodal posteriors
Y Yao, A Vehtari, A Gelman
Journal of Machine Learning Research 23, 1–45, 2022
Bayesian hierarchical stacking: Some models are (somewhere) useful
Y Yao, G Pirš, A Vehtari, A Gelman
Bayesian Analysis, 1-29, 2021
Fallout of lead over Paris from the 2019 Notre‐Dame cathedral fire
A van Geen, Y Yao, T Ellis, A Gelman
GeoHealth 4 (8), e2020GH000279, 2020
Economic growth and happiness in China: A Bayesian multilevel age-period-cohort analysis based on the CGSS data 2005–2015
YS Su, D Lien, Y Yao
International Review of Economics & Finance 77, 191-205, 2022
Assessment of excess mortality and household income in rural Bangladesh during the COVID-19 pandemic in 2020
P Barnwal, Y Yao, Y Wang, NA Juy, S Raihan, MA Haque, A van Geen
JAMA Network Open 4 (11), e2132777-e2132777, 2021
Ensemble model patching: A parameter-efficient variational Bayesian neural network
O Chang, Y Yao, D Williams-King, H Lipson
arXiv preprint arXiv:1905.09453, 2019
Bayesian aggregation
Y Yao
Wiley StatsRef: Statistics Reference Online, 2020
Adaptive path sampling in metastable posterior distributions
Y Yao, C Cademartori, A Vehtari, A Gelman
arXiv preprint arXiv:2009.00471, 2020
Making the most of imprecise measurements: Changing patterns of arsenic concentrations in shallow wells of Bangladesh from laboratory and field data
Y Yao, R Mozumder, B Bostick, B Mailloux, CF Harvey, A Gelman, ...
arXiv preprint arXiv:2101.06631, 2021
Make cross-validation Bayes again
Y Yao, A Vehtari
NeurIPS Workshop "Your Model Is Wrong: Robustness and Misspecification in …, 2021
Toward a scalable Bayesian workflow
Y Yao
Columbia University, 2021
Locking and Quacking: Stacking Bayesian models predictions by log-pooling and superposition
Y Yao, LM Carvalho, D Mesquita
NeurIPS 2022 Workshop on Score-Based Methods, 0
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