iiinova — where your digital self keeps evolving

Reposted by Leander Kurscheidt

NeSy 2026 Conference @nesyconf.org · 09/09/2025

We're glad to announce the NeSy 2025 Test of Time award for "Probabilistic Inference Modulo Theories"! 🏆Rodrigo de Salvo Braz was here to accept the award. This is groundwork for recent NeSy approaches like DeepSeaProbLog and the probabilistic algebraic layer.

165

Reposted by Leander Kurscheidt

Nicola Branchini @nicolabranchini.bsky.social · 02/05/2025

🚨 New paper: “Towards Adaptive Self-Normalized IS”, @ IEEE Statistical Signal Processing Workshop. TLDR; To estimate µ = E_p[f(θ)] with SNIS, instead of doing MCMC on p(θ) or learning a parametric q(θ), we try MCMC directly on p(θ)| f(θ)-µ | (variance-minimizing proposal). arxiv.org/abs/2505.00372

arxiv.org

Towards Adaptive Self-Normalized Importance Samplers

The self-normalized importance sampling (SNIS) estimator is a Monte Carlo estimator widely used to approximate expectations in statistical signal processing and machine learning. The efficiency of S...

13111

Reposted by Leander Kurscheidt

Nicola Branchini @nicolabranchini.bsky.social · 11/12/2024

Interested in estimating posterior predictives in Bayesian inference? Really want to know if your approximate inference "is working"? Come to our poster at the NeurIPS BDU workshop on Saturday - see TL;DR below.

33911