Max Chickering

4 papers and 930 indexed citations i.

About

Max Chickering has authored 4 papers that have received a total of 930 indexed citations. This includes 4 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 2 papers in Signal Processing. The topics of these papers are Bayesian Modeling and Causal Inference (4 papers), AI-based Problem Solving and Planning (2 papers) and Rough Sets and Fuzzy Logic (2 papers). Max Chickering is often cited by papers focused on Bayesian Modeling and Causal Inference (4 papers), AI-based Problem Solving and Planning (2 papers) and Rough Sets and Fuzzy Logic (2 papers) and collaborates with scholars based in United States and United Kingdom. Max Chickering's co-authors include David Heckerman, Henry Kautz, Yongshao Ruan, Eric Horvitz and C. E. Meek and has published in prestigious journals such as Machine Learning

In The Last Decade

Rankless by CCL
2025