Murat A. Erdogdu

University of Toronto · Department of Computer Science · Department of Statistical Sciences Vector Institute Contact Pratt 286b, 6 King's College Rd. Toronto, ON M5S 3H5 erdogdu@cs.toronto.edu

I am an assistant professor at the University of Toronto in the Department of Computer Science and the Department of Statistical Sciences. 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 where I was jointly advised by Andrea Montanari and Mohsen Bayati, and I have an M.Sc. degree in Computer Science also from Stanford.

Research Interests

Some Recent Papers

• A. Mousavi, A. Javanmard, M.A. Erdogdu, Robust Feature Learning for Multi-Index Models in High Dimensions, 2024

• N.M. Vural, and M.A. Erdogdu, Pruning is Optimal for Learning Sparse Features in High-dimensions, 2024

• A. El Hanchi, C. Maddison, and M.A. Erdogdu, Minimax Linear Regression under the Quantile Risk, 2024

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

(list of all publications)