3 citations · 3 across the 2 of their papers we have counts for
3 papers
Compositional Information Geometry of Probabilistic Programs
Jacek Karwowski, Frank Nielsen, Sam Staton
We study the compositional, intensional information geometry of probabilistic programs. For a first-order probabilistic programming language with finite random variables, we constr…
Likelihood Hacking in Probabilistic Program Synthesis
Jacek Karwowski, Younesse Kaddar, Zihuiwen Ye +2
When language models are trained by reinforcement learning (RL) to write probabilistic programs, they can artificially inflate their marginal-likelihood reward by producing program…
Probabilistic programming interfaces for random graphs: Markov categories, graphons, and nominal sets
Nathanael L. Ackerman, Cameron E. Freer, Younesse Kaddar +5
We study semantic models of probabilistic programming languages over graphs, and establish a connection to graphons from graph theory and combinatorics. We show that every well-beh…