Daniel Hsu

82 papers and 3.5k indexed citations i.

Daniel Hsu has authored 82 papers that have received a total of 3.5k indexed citations. This includes 53 papers in Artificial Intelligence, 19 papers in Statistics and Probability and 15 papers in Computational Mechanics. The topics of these papers are Machine Learning and Algorithms (21 papers), Statistical Methods and Inference (16 papers) and Sparse and Compressive Sensing Techniques (13 papers). Daniel Hsu is often cited by papers focused on Machine Learning and Algorithms (21 papers), Statistical Methods and Inference (16 papers) and Sparse and Compressive Sensing Techniques (13 papers) and collaborates with scholars based in United States, United Kingdom and Singapore. Daniel Hsu's co-authors include Sham M. Kakade, Animashree Anandkumar, Dean P. Foster, Zoltán Haiman and Kamalika Chaudhuri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Monthly Notices of the Royal Astronomical Society and IEEE Transactions on Information Theory