# Inference Over Programs That Make Predictions

arXiv: https://arxiv.org/abs/1810.01190 · HTML: https://mlsanity.com/paper/1810.01190/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Oct 2018.

## Built on by (most cited first, 2 of 2)

- [How To Train Your Program: a Probabilistic Programming Pattern for Bayesian Learning From Data](https://mlsanity.com/paper/2105.03650/) (2021)
- [Efficient Incremental Belief Updates Using Weighted Virtual Observations](https://mlsanity.com/paper/2402.06940/) (2024)

## Abstract (arXiv)

This abstract extends on the previous work (arXiv:1407.2646, arXiv:1606.00075) on program induction using probabilistic programming. It describes possible further steps to extend that work, such that, ultimately, automatic probabilistic program synthesis can generalise over any reasonable set of inputs and outputs, in particular in regard to text, image and video data.