Contact

kolter@cs.stanford.edu
Room 124, Gates Building
Computer Science Deparment
Stanford University
353 Serra Mall
Stanford, CA 94305-9045

Publications

Space-indexed Dynamic Programming: Learning to Follow Trajectories J. Zico Kolter, Adam Coates, Andrew Y. Ng, Yi Gu, and Charles DuHadway. To appear in Proceedings of the Twenty-fifth International Conference on Machine Learning, 2008. [pdf, bibtex]

A Control Architecture for Quadruped Locomotion Over Rough Terrain J. Zico Kolter, Mike P. Rodgers, and Andrew Y. Ng. To appear in Proceedings of the International Conference on Robotics and Automation, 2008. [pdf, bibtex]

Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion J. Zico Kolter, Pieter Abbeel, and Andrew Y. Ng. In Proceedings of Neural Information Processing Systems, 2008. (2007 Conference) [pdf, bibtex, supplementary material]

Learning Omnidirectional Path Following Using Dimensionality Reduction J. Zico Kolter and Andrew Y. Ng. In Proceedings of Robtics: Science and Systems, 2007. [pdf, bibtex, supplementary material]

Learning to Detect and Classify Malicious Executables in the Wild J. Zico Kolter and Marcus A. Maloof. Journal of Machine Learning Research, 7:2721-2744 (Special Issue on Machine Learning in Computer Security), 2006. [pdf, bibtex]

Using Additive Expert Ensembles to Cope with Concept Drift. Jeremy Z. Kolter and Marcus A. Maloof. In Proceedings of the Twenty-Second International Conference on Machine Learning, 2005. [pdf, bibtex]

Learning to Detect Malicious Executables in the Wild. Jeremy Z. Kolter and Marcus A. Maloof. In Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004. (Received Best Application Paper award) [pdf, bibtex]

Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift. Jeremy Z. Kolter and Marcus A. Maloof. In Proceedings of the Third International IEEE Conference on Data Mining, 2003. [pdf, bibtex]