Marcin Szymczak

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Probabilistic & Bayesian Methods — 12 citations into it
• Statistics and Probability — 5 citations into it

Whom Marcin Szymczak trusts overall

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

1. Dexter Campbell Kozen

Papers from Marcin Szymczak's perspective

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

1. Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation
2. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
3. Venture: a higher-order probabilistic programming platform with programmable inference
4. Stan: A Probabilistic Programming Language
5. The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo
6. Practical probabilistic programming with monads
7. Probabilistic programming
8. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
9. On Calibration of Modern Neural Networks
10. Probabilistic reasoning in intelligent systems: Networks of plausible inference

Their papers

• Recalibrating classifiers for interpretable abusive content detection (2020) — 13 citations
• A lambda-calculus foundation for universal probabilistic programming (2015) — 115 citations