Yisong Yue
California Institute of Technology
1200 E. California Blvd.
CMS, 305-16
Pasadena, CA 91125

Office: 303 Annenberg
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Admin: Diane Goodfellow (

I am an assistant professor in the Computing and Mathematical Sciences department at the California Institute of Technology.
New PhD Program
Prospective PhD Students, please consider applying to Caltech's new PhD program in Computing and Mathematical Sciences.

I also recruit from the PhD program in Computation & Neural Systems.
My research interests lie primarily in the theory and application of statistical machine learning. I am more generally interested in artificial intelligence. I also interact closely with the RSRG group at Caltech.

Currently, I am particularly interested in learning with humans in the loop, interactive learning systems, structured prediction, and spatiotemporal reasoning. In the past, my research has been applied to information retrieval, recommender systems, text classification, learning from rich user interfaces, analyzing implicit human feedback, data-driven animation, sports analytics, policy learning in robotics, and adaptive routing & allocation problems.

Selected Publications:
  • Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction
    Yisong Yue, Patrick Lucey, Peter Carr, Alina Bialkowski, Iain Matthews
    IEEE International Conference on Data Mining (ICDM), December, 2014.
    (Best Paper Nomination)
  • Personalized Collaborative Clustering
    Yisong Yue, Chong Wang, Khalid El-Arini, Carlos Guestrin
    International World Wide Web Conference (WWW), April, 2014.
  • Linear Submodular Bandits and their Application to Diversified Retrieval
    Yisong Yue, Carlos Guestrin
    Neural Information Processing Systems (NIPS), December, 2011.
  • Beat the Mean Bandit
    Yisong Yue, Thorsten Joachims
    International Conference on Machine Learning (ICML), June, 2011.
  • Predicting Structured Objects with Support Vector Machines
    Thorsten Joachims, Thomas Hofmann, Yisong Yue, Chun-Nam Yu
    Communications of the ACM (CACM), Research Highlight, 52(11), 97--104, November, 2009.
    (With a technical perspective by John Shawe-Taylor.)
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