Jingyuan Chen
Doctoral Student
PhD, Information Sciences, Illinois
AB, Mathematics & Statistics, University of California, Berkeley
Research focus
Currently I am interested in large random measurable combinatorial structures such as Graphons and their applications in information theory and explainable neural networks. I am also interested in computer assisted proofs, recommender systems and the pedagogy of statistics.
Honors and Awards
Department of Mathematics and Department of Statistics Honors, UC Berkeley
Courses currently teaching
Advisor
Presentations
Chen, J., & Xie, K. (2024, December). Fast Low-Rank Up and Downdate Eigenvector Updates for High-Dimensional Covariance Matrices [Poster]. Advanced Matrix Computations, SLICE Lab, UC Berkeley Electrical Engineering and Computer Science Department. Berkeley, CA, United States.
Chen, J., & Yao, D. (2024, December). Empirical Findings on Spectral Properties of Return Covariance Matrices [Presentation]. Joint Risk Seminar, Consortium for Data Analytics in Risk, UC Berkeley Department of Economics. Online.