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. I am the director of the DOLCIT, which is centered around research pertaining statistical decision theory, statistical machine learning, and optimization, broadly construed.
Tenure-Track Faculty Opening
The Computing and Mathematical Sciences (CMS) Department at Caltech invites applications for tenure-track faculty positions. See details here.
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 am the director of DOLCIT, and I also interact closely with the RSRG and Computational Vision groups 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.

Some Recent Publications:
  • A Decision Tree Framework for Spatiotemporal Sequence Prediction
    Taehwan Kim, Yisong Yue, Sarah Taylor, Iain Matthews
    ACM Conference on Knowledge Discovery and Data Mining (KDD), August, 2015.
  • 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)
    [pdf][demo][press release]
  • Personalized Collaborative Clustering
    Yisong Yue, Chong Wang, Khalid El-Arini, Carlos Guestrin
    International World Wide Web Conference (WWW), April, 2014.
  • Learning Policies for Contextual Submodular Prediction
    Stephane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, J. Andrew Bagnell
    International Conference on Machine Learning (ICML), June, 2013.
  • Large Scale Validation and Analysis of Interleaved Search Evaluation
    Olivier Chapelle, Thorsten Joachims, Filip Radlinski, Yisong Yue
    ACM Transactions on Information Systems (TOIS), 30(1), 6:1--6:41, February, 2012.
    (Selected for ACM Notable Computing Books and Articles of 2012)
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