143 citations · 154 across the 6 of their papers we have counts for
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stat.ML2023★ 1 cited
Variational Inference with Gaussian Score Matching
Chirag Modi, Charles Margossian, Yuling Yao +3
Variational inference (VI) is a method to approximate the computationally intractable posterior distributions that arise in Bayesian statistics. Typically, VI fits a simple paramet…
stat.ML2023★ 2 cited
Locking and Quacking: Stacking Bayesian model predictions by log-pooling and superposition
Yuling Yao, Luiz Max Carvalho, Diego Mesquita +1
Combining predictions from different models is a central problem in Bayesian inference and machine learning more broadly. Currently, these predictive distributions are almost exclu…
stat.ML2023
Discriminative calibration: Check Bayesian computation from simulations and flexible classifier
Yuling Yao, Justin Domke
To check the accuracy of Bayesian computations, it is common to use rank-based simulation-based calibration (SBC). However, SBC has drawbacks: The test statistic is somewhat ad-hoc…