Jean-Yves Audibert
About
Jean-Yves Audibert has authored 30 papers that have received a total of 1.9k indexed citations.
This includes 15 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 7 papers in Statistics and Probability. The topics of these papers are Machine Learning and Algorithms (10 papers), Statistical Methods and Inference (7 papers) and Advanced Bandit Algorithms Research (6 papers). Jean-Yves Audibert is often cited by papers focused on Machine Learning and Algorithms (10 papers), Statistical Methods and Inference (7 papers) and Advanced Bandit Algorithms Research (6 papers) and collaborates with scholars based in France, Germany and Canada. Jean-Yves Audibert's co-authors include Jean Ponce, Renaud Keriven, Hui Kong, Hichem Sahbi and Mikel Rodríguez and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and The Annals of Statistics
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