collaborators

1 paper

cs.PL2026

DeGAS: Gradient-Based Optimization of Probabilistic Programs without Sampling

Francesca Randone, Romina Doz, Mirco Tribastone +1

We present DeGAS, a differentiable Gaussian approximate semantics for loopless probabilistic programs that enables sample-free, gradient-based optimization in models with both cont…