Zico Kolter

Assistant Professor, Computer Science Department

Bio

Kolter is an Assistant Professor in the Computer Science Department with the School of Computer Science at Carnegie Mellon University. He is also a member of the Societal Computing Program, and he is an affiliated member of the Machine Learning Department, the Robotics Institute, and the Electrical and Computer Engineering Department.

Research

Kolter's research focuses on computational approaches to sustainable energy domains, and core challenges arising in machine learning, optimization, and control in these areas.

Publications

• A Semismooth Newton Method for Fast, Generic Convex Programming
  Alnur Ali, Eric Wong, J. Zico Kolter 
  In Proceedings of the International Conference on Machine Learning (ICML), 2017

• OptNet: Differentiable Optimization as a Layer in Neural Networks
  Brandon Amos, J. Zico Kolter 
  In Proceedings of the International Conference on Machine Learning (ICML), 2017

• Input Convex Neural Networks
  Brandon Amos, Lei Xu, J. Zico Kolter 
  In Proceedings of the International Conference on Machine Learning (ICML), 2017

• Polynomial optimization methods for matrix factorization
  Po-Wei Wang, Chun-Liang Li, J. Zico Kolter 
  In Proceedings of the Conference on Artificial Intelligence (AAAI), 2017 

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