Mark Schmidt

39 papers and 1.4k indexed citations i.

Mark Schmidt has authored 39 papers that have received a total of 1.4k indexed citations. This includes 31 papers in Artificial Intelligence, 11 papers in Computational Mechanics and 10 papers in Computer Vision and Pattern Recognition. The topics of these papers are Sparse and Compressive Sensing Techniques (11 papers), Stochastic Gradient Optimization Techniques (11 papers) and Advanced Bandit Algorithms Research (7 papers). Mark Schmidt is often cited by papers focused on Sparse and Compressive Sensing Techniques (11 papers), Stochastic Gradient Optimization Techniques (11 papers) and Advanced Bandit Algorithms Research (7 papers) and collaborates with scholars based in Canada, United States and France. Mark Schmidt's co-authors include Kevin P. Murphy, Sharan Vaswani, Albert Murtha, Mohamed Osama Ahmed and Issam Laradji and has published in prestigious journals such as Proceedings of the IEEE, Mathematical Programming and Machine Learning