Jakub Konečný
About
Jakub Konečný has authored 10 papers that have received a total of 410 indexed citations.
This includes 10 papers in Artificial Intelligence, 6 papers in Computational Mechanics and 2 papers in Statistics and Probability. The topics of these papers are Stochastic Gradient Optimization Techniques (9 papers), Sparse and Compressive Sensing Techniques (6 papers) and Machine Learning and ELM (4 papers). Jakub Konečný is often cited by papers focused on Stochastic Gradient Optimization Techniques (9 papers), Sparse and Compressive Sensing Techniques (6 papers) and Machine Learning and ELM (4 papers) and collaborates with scholars based in United States, United Kingdom and Switzerland. Jakub Konečný's co-authors include Peter Richtárik, Martin Takáč, Zachary Charles, Mark Schmidt and Zachary Garrett and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing and Optimization methods & software
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