I am a 3rd year PhD student in the EECS department at MIT, advised by Guy Bresler. I received my undergraduate degree in mathematics from Princeton University, where I was advised by Emmanuel Abbe. I am grateful to be generously supported by an NSF Graduate Research Fellowship and a Siebel Fellowship.
Interests. machine learning theory, average-case complexity, high-dimensional statistics
The Average-Case Complexity of Counting Cliques in Erdos-Renyi Hypergraphs,
Foundations of Computer Science (FOCS'19).
EB, Matthew Brennan, Guy Bresler
Sample-Efficient Active Learning of Causal Trees,
Conference on Neural Information Processing Systems (NeurIPS'19).
Kristjan Greenewald*, Dmitriy Katz-Rogozhnikov*, Karthikeyan Shanmugam*, Sara Magliacane, Murat Kocaoglu, __EB__, Guy Bresler
Subadditivity Beyond Trees and the Chi-Squared Mutual Information,
IEEE International Symposium on Information Theory (ISIT'19).
Emmanuel Abbe, EB
Randomized Concurrent Set Union and Generalized Wake-Up,
Symposium on Principles of Distributed Computing (PODC'19).
Siddhartha Jayanti*, Robert E. Tarjan*, __EB__
* denotes equally-contributing first authors. In all other papers, authors contributed equally and are listed in alphabetical order.