Ohad Shamir

81 papers and 2.3k indexed citations i.

Ohad Shamir has authored 81 papers that have received a total of 2.3k indexed citations. This includes 76 papers in Artificial Intelligence, 28 papers in Computational Mechanics and 24 papers in Management Science and Operations Research. The topics of these papers are Machine Learning and Algorithms (39 papers), Stochastic Gradient Optimization Techniques (32 papers) and Sparse and Compressive Sensing Techniques (28 papers). Ohad Shamir is often cited by papers focused on Machine Learning and Algorithms (39 papers), Stochastic Gradient Optimization Techniques (32 papers) and Sparse and Compressive Sensing Techniques (28 papers) and collaborates with scholars based in Israel, United States and United Kingdom. Ohad Shamir's co-authors include Shai Shalev‐Shwartz, Karthik Sridharan, Ofer Dekel, Nathan Srebro and Naftali Tishby and has published in prestigious journals such as Nucleic Acids Research, IEEE Transactions on Information Theory and The Annals of Statistics