Martin Jaggi
About
Martin Jaggi has authored 68 papers that have received a total of 1.3k indexed citations.
This includes 50 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 14 papers in Computational Mechanics. The topics of these papers are Stochastic Gradient Optimization Techniques (22 papers), Sparse and Compressive Sensing Techniques (14 papers) and Topic Modeling (13 papers). Martin Jaggi is often cited by papers focused on Stochastic Gradient Optimization Techniques (22 papers), Sparse and Compressive Sensing Techniques (14 papers) and Topic Modeling (13 papers) and collaborates with scholars based in Switzerland, United States and Germany. Martin Jaggi's co-authors include Sebastian U. Stich, Valéria De Luca, Sai Praneeth Karimireddy, Claudiu Musat and Thijs Vogels and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Machine Learning Research and SIAM Journal on Optimization
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