Ethan R. Elenberg

8 papers and 75 indexed citations i.

Ethan R. Elenberg has authored 8 papers that have received a total of 75 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 Combinatorial Optimization and Complexity Theory (2 papers), Machine Learning and Data Classification (2 papers) and Graph Theory and Algorithms (1 paper). Ethan R. Elenberg is often cited by papers focused on Combinatorial Optimization and Complexity Theory (2 papers), Machine Learning and Data Classification (2 papers) and Graph Theory and Algorithms (1 paper) and collaborates with scholars based in United States, Switzerland and Israel. Ethan R. Elenberg's co-authors include Alexandros G. Dimakis, Rajiv Khanna, Sahand Negahban, Joydeep Ghosh and Tianyi Zhang and has published in prestigious journals such as The Annals of Statistics.