57:49 [LAFI'23] Introduction to the tensor-programs framework, a PL approach that helps analyse ... ACM SIGPLAN
10:37 [LAFI'23] Exact Inference for Discrete Probabilistic Programs via Generating Functions ACM SIGPLAN
5:01 [LAFI'23] Denotational semantics of languages for inference: semirings, monads, and tensor... ACM SIGPLAN
6:46 [LAFI'23] On the Reparameterisation Gradient for Non-Differentiable but Continuous Models ACM SIGPLAN
5:40 [LAFI'23] Distribution Theoretic Semantics for Non-Smooth Differentiable Programming ACM SIGPLAN
6:11 [LAFI'23] Pitfalls of Full Bayesian Inference in Universal Probabilistic Programming ACM SIGPLAN