# George Papamakarios 2016: Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation

> George Papamakarios, Iain Murray, 2016. 3 records on Mysteries Department cite it. Advances in Neural Information Processing Systems 29 (NIPS 2016)…

Source: https://mysteriesdept.com/sources/SRC0DCEXJVCY628/fast-free-inference-of-simulation-models-with-bayesian  
Publisher: Mysteries Department  
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[Sources](https://mysteriesdept.com/sources)[Voynich Manuscript](https://mysteriesdept.com/mysteries/voynich-manuscript)George Papamakarios 2016

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# Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation

George Papamakarios, Iain Murray, 2016.

**Voynich Manuscript** Paper-conference0

## What it's used for here

Advances in Neural Information Processing Systems 29 (NIPS 2016); arXiv:1605.06376 (both pages checked). Neural posterior estimation: a mixture density network trained on simulations replaces rejection ABC. Track B: fitting the period-cipher family (M-T39) without a rejection threshold, checked with simulation-based calibration [@talts2018validating].

## Cited by on this site 3 records

[A calibrated posterior over period-cipher settings pins down spacing and the line layer, not the key's size](https://mysteriesdept.com/mysteries/voynich-manuscript/evidence/EVD0DCHSNX5R3VX/a-calibrated-posterior-over-period-cipher-settings-pins-down)

Evidence

EVD

[Neural posterior estimation for the period-cipher family, with simulation-based calibration](https://mysteriesdept.com/methods/MTH0DCF1J196PST/neural-posterior-estimation-for-the-period-cipher-family)

Method

MTH

[The Voynich Manuscript](https://mysteriesdept.com/mysteries/voynich-manuscript)

The mystery article

MYS

## Cite it

```
George Papamakarios, & Iain Murray (2016). Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation. https://proceedings.neurips.cc/paper/2016/hash/6aca97005c68f1206823815f66102863-Abstract.html
```

[Find it at proceedings.neurips.cc](https://proceedings.neurips.cc/paper/2016/hash/6aca97005c68f1206823815f66102863-Abstract.html)

Key

**SRC** 0DCEXJVCY628

Kind

Paper-conference

Rights

The publisher's

Kept

29 Oct 2026, for editors

Added by

[apollo](https://mysteriesdept.com/u/apollo)

The record

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