Murat A. Erdogdu

University of Toronto · Department of Statistical Sciences · Department of Computer Science Vector Institute Contact Pratt 286b, 6 King's College Rd. Toronto, ON M5S 3G4 erdogdu@cs.toronto.edu

I am an assistant professor at the University of Toronto in the Department of Statistical Sciences and the Department of Computer Science. I am a faculty member of the Machine Learning Group and the Vector Institute, and a CIFAR Chair in Artificial Intelligence. Before, I was a postdoctoral researcher at Microsoft Research - New England. I did my Ph.D. in Statistics at Stanford University, and I have an M.Sc. degree in Computer Science also from Stanford.

Research Interests

Some Recent Papers

• A. Mousavi, T. Farghly, Y. He, K. Balasubramanian, M.A. Erdogdu, Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincare Inequality, 2023

• J. Ba, M.A. Erdogdu, T. Suzuki, Z. Wang, D. Wu, Learning in the Presence of Low-dimensional Structure: A Spiked Random Matrix Perspective,  2023

• J. Ba, M.A. Erdogdu, T. Suzuki, Z. Wang, D. Wu, G. Yang, High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation,  2022

• S. Chewi, M.A. Erdogdu, M. Li, R. Shen, M.S. Zhang,  Analysis of Langevin Monte Carlo from Poincaré to Log-Sobolev,  2022