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Cited article:

Bayesian Stochastic Gradient Descent for Stochastic Optimization with Streaming Input Data

Tianyi Liu, Yifan Lin and Enlu Zhou
SIAM Journal on Optimization 34 (1) 389 (2024)
https://doi.org/10.1137/22M1478951

Gibbs posterior convergence and the thermodynamic formalism

Kevin McGoff, Sayan Mukherjee and Andrew B. Nobel
The Annals of Applied Probability 32 (1) (2022)
https://doi.org/10.1214/21-AAP1685

Hierarchical confounder discovery in the experiment-machine learning cycle

Alex Rogozhnikov, Pavan Ramkumar, Rishi Bedi, Saul Kato and G. Sean Escola
Patterns 3 (4) 100451 (2022)
https://doi.org/10.1016/j.patter.2022.100451

Bayesian Estimation for Gaussian Graphical Models: Structure Learning, Predictability, and Network Comparisons

Donald R. Williams
Multivariate Behavioral Research 56 (2) 336 (2021)
https://doi.org/10.1080/00273171.2021.1894412