Foster Provost is affiliated with New York University in the United States. Their research primarily spans the fields of Mathematics and Computer Science, with a total of 14 and 13 publications respectively. Subfields of focus include Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Sociology and Political Science, and Information Systems.
Their work addresses several key topics such as Advanced Causal Inference Techniques, Statistical Methods in Clinical Trials, Explainable Artificial Intelligence (XAI), Statistical Methods and Bayesian Inference, Bayesian Modeling and Causal Inference, Recommender Systems and Techniques, and Privacy, Security, and Data Protection.
Foster Provost has authored papers published across various venues, including:
Recent papers authored or coauthored by Foster Provost cover diverse topics and publication venues, such as:
Frequent collaborators include:
Their research contributions cover methodological advancements in causal inference and explainability within AI systems, as well as applications in recommender systems and data-driven decision processes. The publications reflect an intersection of statistical and computational methods applied to operational and societal challenges.
J. Ben Schafer;Joseph A. Konstan;John Riedl
Foster J. Provost;Tom Fawcett
Foster Provost;Tom Fawcett
Victor S. Sheng;Foster Provost;Panagiotis G. Ipeirotis
Foster Provost;Tom Fawcett
Tom Fawcett;Foster Provost
Panagiotis G. Ipeirotis;Foster Provost;Jing Wang
Gary M. Weiss;Foster Provost
Foster J. Provost;Tom Fawcett;Ron Kohavi
Foster Provost;Tom Fawcett
Shawndra Hill;Foster Provost;Chris Volinsky
Sofus A. Macskassy;Foster Provost
Foster Provost;Pedro Domingos
Foster Provost
Tom Fawcett;Foster Provost
Gary M. Weiss;Foster Provost
Gary M. Weiss;Foster Provost
Foster Provost;David Jensen;Tim Oates
Claudia Perlich;Foster Provost;Jeffrey S. Simonoff
Maytal Saar-Tsechansky;Foster Provost
F. Provost;G. M. Weiss
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