1 code implementation • 15 Mar 2024 • Declan McNamara, Jackson Loper, Jeffrey Regier
As an alternative, we propose SMC-Wake, a procedure for fitting an amortized variational approximation that uses likelihood-tempered sequential Monte Carlo samplers to estimate the gradient of the inclusive KL divergence.
no code implementations • 23 May 2023 • Yash Patel, Declan McNamara, Jackson Loper, Jeffrey Regier, Ambuj Tewari
We prove lower bounds on the predictive efficiency of the regions produced by CANVI and explore how the quality of a posterior approximation relates to the predictive efficiency of prediction regions based on that approximation.