Joseph Tassarotti

Artificial Intelligence · 2014

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

Subfields

• Artificial Intelligence — 8 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Joseph Tassarotti trusts overall

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

1. Matthew D. Hoffman
2. David M. Blei

Papers from Joseph Tassarotti's perspective

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

1. Latent Dirichlet Allocation
2. Stochastic variational inference
3. Church: a language for generative models
4. Figaro : An Object-Oriented Probabilistic Programming Language
5. Finding scientific topics
6. An architecture for parallel topic models
7. The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo
8. Fractals and Statistics: An R Package Called IFS
9. Venture: a higher-order probabilistic programming platform with programmable inference
10. FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs

Their papers

• Augur: Data-Parallel Probabilistic Modeling (2014) — 29 citations