Aaron Sidford
About
Aaron Sidford has authored 38 papers that have received a total of 567 indexed citations.
This includes 32 papers in Computational Theory and Mathematics, 14 papers in Artificial Intelligence and 14 papers in Statistics and Probability. The topics of these papers are Combinatorial Optimization and Complexity Theory (26 papers), Sparse and Compressive Sensing Techniques (12 papers) and Markov Chains and Monte Carlo Methods (12 papers). Aaron Sidford is often cited by papers focused on Combinatorial Optimization and Complexity Theory (26 papers), Sparse and Compressive Sensing Techniques (12 papers) and Markov Chains and Monte Carlo Methods (12 papers) and collaborates with scholars based in United States, United Kingdom and Russia. Aaron Sidford's co-authors include Yin Tat Lee, Jonathan A. Kelner, Richard Peng, John Peebles and Oliver Hinder and has published in prestigious journals such as SIAM Journal on Computing, SIAM Journal on Optimization and Operations Research Letters
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