Avraham Shinnar

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Probabilistic & Bayesian Methods — 17 citations into it
• Statistics and Probability — 6 citations into it

Whom Avraham Shinnar trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. S. Staton (in Probabilistic & Bayesian Methods)
2. Matthew D. Hoffman (in Probabilistic & Bayesian Methods)
3. Andrew Gelman (in Probabilistic & Bayesian Methods)

Papers from Avraham Shinnar's perspective

Ordered by how strongly the researchers Avraham Shinnar trusts endorse each paper. Same corpus, a different order for every researcher.

1. Stan: A Probabilistic Programming Language
2. Church: a language for generative models
3. Probabilistic programming in Python using PyMC3
4. The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo
5. Deep Probabilistic Programming
6. Data Analysis Using Regression and Multilevel/Hierarchical Models
7. Design and Implementation of Probabilistic Programming Language Anglican
8. Bayesian data analysis.
9. Semantics for probabilistic programming: higher-order functions, continuous distributions, and soft constraints
10. Learning Disentangled Representations with Semi-Supervised Deep Generative Models

Their papers

• Compiling Stan to generative probabilistic languages and extension to deep probabilistic programming (2021) — 15 citations