Jeremy Bernstein

5 papers and 153 indexed citations i.

Jeremy Bernstein has authored 5 papers that have received a total of 153 indexed citations. This includes 5 papers in Artificial Intelligence, 1 paper in Electrical and Electronic Engineering and 1 paper in Cognitive Neuroscience. The topics of these papers are Stochastic Gradient Optimization Techniques (3 papers), Privacy-Preserving Technologies in Data (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Jeremy Bernstein is often cited by papers focused on Stochastic Gradient Optimization Techniques (3 papers), Privacy-Preserving Technologies in Data (2 papers) and Adversarial Robustness in Machine Learning (2 papers) and collaborates with scholars based in United States and United Kingdom. Jeremy Bernstein's co-authors include Kamyar Azizzadenesheli, Anima Anandkumar, Yu-Xiang Wang, Animashree Anandkumar and Guneet S. Dhillon and has published in prestigious journals such as and