Sanjoy Dasgupta
About
Sanjoy Dasgupta has authored 71 papers that have received a total of 2.9k indexed citations.
This includes 42 papers in Artificial Intelligence, 13 papers in Signal Processing and 11 papers in Statistics and Probability. The topics of these papers are Machine Learning and Algorithms (19 papers), Bayesian Methods and Mixture Models (13 papers) and Algorithms and Data Compression (12 papers). Sanjoy Dasgupta is often cited by papers focused on Machine Learning and Algorithms (19 papers), Bayesian Methods and Mixture Models (13 papers) and Algorithms and Data Compression (12 papers) and collaborates with scholars based in United States, India and Singapore. Sanjoy Dasgupta's co-authors include Kamalika Chaudhuri, Samory Kpotufe, Yoav Freund, Daniel Hsu and Nakul Verma and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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