Michał Dereziński

19 papers and 63 indexed citations i.

Michał Dereziński has authored 19 papers that have received a total of 63 indexed citations. This includes 12 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 6 papers in Computational Mechanics. The topics of these papers are Machine Learning and Algorithms (6 papers), Sparse and Compressive Sensing Techniques (6 papers) and Stochastic Gradient Optimization Techniques (4 papers). Michał Dereziński is often cited by papers focused on Machine Learning and Algorithms (6 papers), Sparse and Compressive Sensing Techniques (6 papers) and Stochastic Gradient Optimization Techniques (4 papers) and collaborates with scholars based in United States, France and Israel. Michał Dereziński's co-authors include Manfred K. Warmuth, Michael W. Mahoney, S. V. N. Vishwanathan, Dhruv Mahajan and Daniel Hsu and has published in prestigious journals such as Mathematical Programming, Journal of Machine Learning Research and Notices of the American Mathematical Society.