Amortised Inference through One-Step Implicit Sampling
arXiv:2610.12679v1 Announce Type: new Abstract: Efficient sampling from Bayesian posterior distributions in high dimensions remains a hard problem, despite advances in theory and algorithms. Multiple steps are usually required to draw unbiased samples, for example, iterations of an MCMC algorithm o…
Read the full story at arXiv cs.LG ↗
Timeline · 1 report
- 2026-10-12 04:00 · arXiv cs.LG
Amortised Inference through One-Step Implicit Sampling