Matus Telgarsky
About
Matus Telgarsky has authored 17 papers that have received a total of 453 indexed citations.
This includes 15 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are Stochastic Gradient Optimization Techniques (6 papers), Machine Learning and Algorithms (3 papers) and Sparse and Compressive Sensing Techniques (3 papers). Matus Telgarsky is often cited by papers focused on Stochastic Gradient Optimization Techniques (6 papers), Machine Learning and Algorithms (3 papers) and Sparse and Compressive Sensing Techniques (3 papers) and collaborates with scholars based in United States, United Kingdom and The Netherlands. Matus Telgarsky's co-authors include Ziwei Ji, Sanjoy Dasgupta, Andrea Vattani, Alina Beygelzimer and John Langford and has published in prestigious journals such as Journal of Machine Learning Research
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