Mathieu Huot
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
Prog. Lang.×1ML×1
Frequent co-authors
Research Timeline
2026
GradInf: Gradient Estimation as Probabilistic Inference
This paper introduces gradient inference, a new approach to developing sound and efficient gradient estimators for probabilistic programs by reducing gradient estimation to a related probabilistic inference problem.
Highlighted terms show continued research focus across papers
Papers
cs.PLcs.LGTheoreticalRecentJul 8, 2026
GradInf: Gradient Estimation as Probabilistic Inference
Gaurav Arya, Mathieu Huot, Moritz Schauer, Alexander K. Lew +1 more
This paper introduces gradient inference, a new approach to developing sound and efficient gradient estimators for probabilistic programs by reducing gradient estimation to a related probabilistic inf…
View →