Nathan Srebro

83 papers and 3.9k indexed citations i.

Nathan Srebro has authored 83 papers that have received a total of 3.9k indexed citations. This includes 66 papers in Artificial Intelligence, 28 papers in Computational Mechanics and 24 papers in Computer Vision and Pattern Recognition. The topics of these papers are Stochastic Gradient Optimization Techniques (29 papers), Sparse and Compressive Sensing Techniques (28 papers) and Machine Learning and Algorithms (23 papers). Nathan Srebro is often cited by papers focused on Stochastic Gradient Optimization Techniques (29 papers), Sparse and Compressive Sensing Techniques (28 papers) and Machine Learning and Algorithms (23 papers) and collaborates with scholars based in United States, Israel and Japan. Nathan Srebro's co-authors include Behnam Neyshabur, Karthik Sridharan, Shai Shalev‐Shwartz, Ruslan Salakhutdinov and Suriya Gunasekar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and IEEE Transactions on Automatic Control.