Search Results for author: Julia Porcino

Found 4 papers, 1 papers with code

Gradient-flow adaptive importance sampling for Bayesian leave one out cross-validation with application to sigmoidal classification models

no code implementations13 Feb 2024 Joshua C Chang, Xiangting Li, Shixin Xu, Hao-Ren Yao, Julia Porcino, Carson Chow

We introduce gradient-flow-guided adaptive importance sampling (IS) transformations for stabilizing Monte-Carlo approximations of leave-one-out (LOO) cross-validated predictions for Bayesian models.

Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery

no code implementations20 Oct 2022 Joshua C. Chang, Carson C. Chow, Julia Porcino

We also analogize our multidimensional IRT model to probabilistic autoencoders, specifying an encoder function that amortizes the inference of ability parameters from item responses.

Bayesian Inference

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