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07/15/2023
Variational Inference with Gaussian Score Matching
Variational inference (VI) is a method to approximate the computationall...
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05/24/2023
Discriminative calibration
To check the accuracy of Bayesian computations, it is common to use rank...
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05/12/2023
Locking and Quacking: Stacking Bayesian model predictions by log-pooling and superposition
Combining predictions from different models is a central problem in Baye...
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04/24/2023
A Cheat Sheet for Bayesian Prediction
This paper reviews the growing field of Bayesian prediction. Bayes point...
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01/22/2021
Bayesian hierarchical stacking
Stacking is a widely used model averaging technique that yields asymptot...
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01/17/2021
Making the most of imprecise measurements: Changing patterns of arsenic concentrations in shallow wells of Bangladesh from laboratory and field data
Millions of people in Bangladesh drink well water contaminated with arse...
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11/03/2020
Bayesian Workflow
The Bayesian approach to data analysis provides a powerful way to handle...
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09/01/2020
Adaptive Path Sampling in Metastable Posterior Distributions
The normalizing constant plays an important role in Bayesian computation...
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06/22/2020
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors
When working with multimodal Bayesian posterior distributions, Markov ch...
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02/15/2020
Holes in Bayesian Statistics
Every philosophy has holes, and it is the responsibility of proponents o...
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12/24/2019
Bayesian Aggregation
A general challenge in statistics is prediction in the presence of multi...
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05/23/2019
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network
Two main obstacles preventing the widespread adoption of variational Bay...
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10/12/2018
Limitations of "Limitations of Bayesian leave-one-out cross-validation for model selection"
This article is an invited discussion of the article by Gronau and Wagen...
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02/07/2018