Chung-Kil Hur

Probabilistic & Bayesian Methods · 2014

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 8 citations into it
• Artificial Intelligence — 5 citations into it

Whom Chung-Kil Hur trusts overall

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

1. Radford M. Neal
2. David Wingate
3. Noah D. Goodman
4. Leonardo de Moura
5. Andreas Stuhlmüller

Who trusts Chung-Kil Hur overall

1. Timon Gehr
2. Aleksandar Chakarov

Papers from Chung-Kil Hur's perspective

Ordered by how strongly the researchers Chung-Kil Hur trusts endorse each paper. Same corpus, a different order for every researcher.

1. Handbook of Markov Chain Monte Carlo
2. Church: a language for generative models
3. Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
4. Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation
5. Effective Bayesian Inference for Stochastic Programs
6. Nonstandard Interpretations of Probabilistic Programs for Efficient Inference
7. Z3: An Efficient SMT Solver
8. TrueSkill™: A Bayesian Skill Rating System
9. TrueSkillTM: A Bayesian Skill Rating System
10. The Alchemy System for Statistical Relational AI: User Manual

Their papers

• R2: An Efficient MCMC Sampler for Probabilistic Programs (2014) — 120 citations