Agentic Bayesian Inference Debugging

Probabilistic programming provides a flexible framework for modeling uncertain real-world systems, but Bayesian inference for such models is often computationally expensive and difficult to debug. In particular, convergence of approximate inference algorithms such as Hamiltonian Monte Carlo cannot b... View More