2 papers
stat.ML2025
Globally Convergent Variational Inference
Declan McNamara, Jackson Loper, Jeffrey Regier
In variational inference (VI), an approximation of the posterior distribution is selected from a family of distributions through numerical optimization. With the most common variat…
stat.ME2024
Variational Inference with Coverage Guarantees in Simulation-Based Inference
Yash Patel, Declan McNamara, Jackson Loper +2
Amortized variational inference is an often employed framework in simulation-based inference that produces a posterior approximation that can be rapidly computed given any new obse…