Michael Greenberg

Artificial Intelligence · with Borgström · 2011

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it

Whom Michael Greenberg trusts overall

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

1. Tom Minka

Papers from Michael Greenberg's perspective

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

1. Expectation Propagation for approximate Bayesian inference
2. Church: a language for generative models
3. BLOG: Probabilistic Models with Unknown Objects
4. Variational Message Passing
5. TrueSkillTM: A Bayesian Skill Rating System
6. AND T
7. Effective Bayesian Inference for Stochastic Programs
8. FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs
9. Formal certification of code-based cryptographic proofs
10. Formal Certification of Code-Based Cryptographic Proofs.

Their papers

• Measure Transformer Semantics for Bayesian Machine Learning (2011) — 109 citations