About
J. Zico Kolter is a Professor and Director of the Machine Learning Department at the School of Computer Science, Carnegie Mellon University. His research focuses on advancing deep learning algorithms to enhance their robustness, safety, and understanding of data impact on model functionality.
- Current Courses: 15-780 Graduate Artificial Intelligence (Spring 2024), 10-714 Deep Learning Systems
- Former Courses: 15-688 Practical Data Science, 15-780 Graduate Artificial Intelligence (Spring 2017), 15-884 Computational Methods for the Smart Grid
He has led tutorials on Implicit Layers (NeurIPS 2020) and Adversarial Robustness (NeurIPS 2018), along with educational resources like a linear algebra refresher.
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