# Michael Deistler 2022: Truncated proposals for scalable and hassle-free simulation-based inference

> Michael Deistler, Pedro J. Goncalves, Jakob H. Macke, 2022. 2 records on Mysteries Department cite it. Advances in Neural Information Processing Systems…

Source: https://mysteriesdept.com/sources/SRC0DCFSWN6WFF4/truncated-proposals-for-scalable-and-hassle-free-simulation  
Publisher: Mysteries Department  
Licence: CC BY 4.0 (credit Mysteries Department and link the page)  

---

[Sources](https://mysteriesdept.com/sources)[Voynich Manuscript](https://mysteriesdept.com/mysteries/voynich-manuscript)Michael Deistler 2022

**0**

# Truncated proposals for scalable and hassle-free simulation-based inference

Michael Deistler, Pedro J. Goncalves, Jakob H. Macke, 2022.

**Voynich Manuscript** Paper-conference0

## What it's used for here

Advances in Neural Information Processing Systems 35 (NeurIPS 2022); arXiv:2210.04815 (NeurIPS page checked). Sequential NPE by drawing new simulations from the prior truncated to the current posterior's high-probability region, which keeps the posterior valid without importance corrections. Used for T42 round 2.

## Cited by on this site 2 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

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

The mystery article

MYS

## Cite it

```
Michael Deistler, Pedro J. Goncalves, & Jakob H. Macke (2022). Truncated proposals for scalable and hassle-free simulation-based inference. https://neurips.cc/virtual/2022/poster/54760
```

[Find it at neurips.cc](https://neurips.cc/virtual/2022/poster/54760)

Key

**SRC** 0DCFSWN6WFF4

Kind

Paper-conference

Rights

The publisher's

Kept

29 Oct 2026, for editors

Added by

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

The record

Bibliographic records are CC0. Take this one as CSL-JSON, BibTeX or RIS.

[CSL-JSON](https://mysteriesdept.com/sources/SRC0DCFSWN6WFF4/truncated-proposals-for-scalable-and-hassle-free-simulation/csl.json)