Ethan R. Elenberg

8 papers and 74 indexed citations i.

Ethan R. Elenberg has authored 8 papers that have received a total of 74 indexed citations. This includes 6 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 1 paper in Computer Vision and Pattern Recognition. The topics of these papers are Machine Learning and Data Classification (2 papers), Combinatorial Optimization and Complexity Theory (2 papers) and Privacy-Preserving Technologies in Data (1 paper). Ethan R. Elenberg is often cited by papers focused on Machine Learning and Data Classification (2 papers), Combinatorial Optimization and Complexity Theory (2 papers) and Privacy-Preserving Technologies in Data (1 paper) and collaborates with scholars based in United States, Switzerland and Israel. Ethan R. Elenberg's co-authors include Alexandros G. Dimakis, Sahand Negahban, Rajiv Khanna, Joydeep Ghosh and Sriram Vishwanath and has published in prestigious journals such as The Annals of Statistics.