Dan Garber
About
Dan Garber has authored 20 papers that have received a total of 133 indexed citations.
This includes 15 papers in Artificial Intelligence, 14 papers in Computational Mechanics and 8 papers in Management Science and Operations Research. The topics of these papers are Sparse and Compressive Sensing Techniques (14 papers), Stochastic Gradient Optimization Techniques (10 papers) and Advanced Bandit Algorithms Research (8 papers). Dan Garber is often cited by papers focused on Sparse and Compressive Sensing Techniques (14 papers), Stochastic Gradient Optimization Techniques (10 papers) and Advanced Bandit Algorithms Research (8 papers) and collaborates with scholars based in Israel, United States and Japan. Dan Garber's co-authors include Elad Hazan, Nathan Srebro, Weiran Wang, Edo Liberty and Jialei Wang and has published in prestigious journals such as Mathematical Programming, SIAM Journal on Optimization and Mathematics of Operations Research
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