Alnur Ali

15 papers and 162 indexed citations i.

Alnur Ali has authored 15 papers that have received a total of 162 indexed citations. This includes 8 papers in Artificial Intelligence, 6 papers in Computational Mechanics and 4 papers in Statistics and Probability. The topics of these papers are Sparse and Compressive Sensing Techniques (6 papers), Stochastic Gradient Optimization Techniques (4 papers) and Markov Chains and Monte Carlo Methods (3 papers). Alnur Ali is often cited by papers focused on Sparse and Compressive Sensing Techniques (6 papers), Stochastic Gradient Optimization Techniques (4 papers) and Markov Chains and Monte Carlo Methods (3 papers) and collaborates with scholars based in United States and China. Alnur Ali's co-authors include Ryan J. Tibshirani, Stephen Boyd, J. Zico Kolter, Akshay Agrawal and Sang‐Yun Oh and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Computational and Graphical Statistics and Mathematical Social Sciences