Aaron Sidford

23 papers and 323 indexed citations i.

Aaron Sidford has authored 23 papers that have received a total of 323 indexed citations. This includes 22 papers in Artificial Intelligence, 10 papers in Computational Mechanics and 7 papers in Statistics and Probability. The topics of these papers are Stochastic Gradient Optimization Techniques (15 papers), Sparse and Compressive Sensing Techniques (9 papers) and Machine Learning and Algorithms (5 papers). Aaron Sidford is often cited by papers focused on Stochastic Gradient Optimization Techniques (15 papers), Sparse and Compressive Sensing Techniques (9 papers) and Machine Learning and Algorithms (5 papers) and collaborates with scholars based in United States. Aaron Sidford's co-authors include Yair Carmon, Sham M. Kakade, Yin Tat Lee, Praneeth Netrapalli and Prateek Jain and has published in prestigious journals such as Mathematical Programming and Naval Research Logistics (NRL)