Bryant Chen
About
Bryant Chen has authored 12 papers that have received a total of 68 indexed citations.
This includes 10 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 2 papers in Statistics and Probability. The topics of these papers are Bayesian Modeling and Causal Inference (7 papers), Anomaly Detection Techniques and Applications (3 papers) and Adversarial Robustness in Machine Learning (3 papers). Bryant Chen is often cited by papers focused on Bayesian Modeling and Causal Inference (7 papers), Anomaly Detection Techniques and Applications (3 papers) and Adversarial Robustness in Machine Learning (3 papers) and collaborates with scholars based in United States. Bryant Chen's co-authors include Judea Pearl, Ian Molloy, Ambrish Rawat, Heiko Ludwig and Minh Ngoc Tran and has published in prestigious journals such as and
In The Last Decade
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