Arsen Vasilyan

Arsen Vasilyan

limited-term research specialist, Massachusetts Institute of Technology

Arsen Vasilyan did his PhD at the Department of Computer Science at Massachusetts Institute of Technology, advised by Jonathan Kelner and Ronitt Rubinfeld. He is a researcher in theoretical computer science, and his main interests lie in Learning Theory, Sublinear Algorithms and the interplay between these two fields. Some research themes that have been arising again and again in his research are (1) Ensuring that algorithms for high-dimensional data analysis and computational statistics are reliable and safe to use. (2) Studying problems for which sample-efficient algorithms are known and designing algorithms that are also computationally efficient.

Program Visits

Modern Paradigms in Generalization, Fall 2024, Research Fellow
Sublinear Algorithms, Summer 2024, Visiting Graduate Student
program
Modern Paradigms in Generalization
visiting
Fields
Computational Learning Theory, Distribution Learning and Testing, Computational Statistics and Sublinear Algorithms