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Geoffrey J. Gordon. I'm a professor in the Machine Learning Department at Carnegie Mellon . I am also affiliated with the Robotics Institute . I'm interested in multi-agent planning, reinforcement learning, decision-theoretic planning, statistical models of difficult data (e.g. maps, video, text), computational learning theory, and game theory.
Stable function approximation in dynamic programming. GJ Gordon. Proc. Int'l Conf. on Machine Learning (ICML), 261-268. , 1995. 742. 1995. Automatic database management system tuning through large-scale machine learning. DV Aken, A Pavlo, GJ Gordon, B Zhang. SIGMOD.
Apr 25, 2018 · Listen to Dr. Geoff Gordon, Research Director of Microsoft Research Montreal, talk about his vision of making computers less computer-like and his work on natural language processing. He also shares his insights on the history and future of AI, the collaboration between academia and industry, and the role of Montreal as a global center for AI research.
Geoffrey J. Gordon is a professor at the Machine Learning Department at Carnegie Mellon University in Pittsburgh and director of research at the Microsoft Montréal lab.
Geoffrey Gordon is an adjunct professor in the Machine Learning Department at Carnegie Mellon University. He previously served as interim department head and associate department head for education in Carnegie Mellon’s Machine Learning Department.
CMU School of Computer Science
Geoff Gordon is a faculty member in the Center for Automated Learning and Discovery (CALD) at Carnegie Mellon. He is interested in reinforcement learning/planning, statistical models of difficult data (examples include natural-language text and maps of a robot's surroundings), and computational learning theory.
