CMSA Colloquium: Spectral Methods for signal recovery in multi-modal problems
CMSA COLLOQUIUM
When: October 5, 2026
4:30 pm - 5:30 pm
Where: CMSA, 20 Garden St, G10
Address:
20 Garden Street, Cambridge, MA 02138, United States
Speaker: Subhabrata Sen (Harvard Statistics)
Motivated by multi-modal estimation, we will study a multi-view spiked random matrix model in which several noisy matrix observations contain correlated spikes. We will introduce a new spectral method for signal recovery in this setting and characterize the behavior of the top eigenvalue and the associated eigenvector. Our results will identify the sharp threshold for signal recovery in this problem. We will discuss broader implications for multi-modal data analysis. Based on joint work with Xiaodong Yang and Yue M. Lu.
Tea and cake will be served before the talk from 4:00 p.m. in the CMSA common room.