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

Office: 303 Annenberg

Contact Information

About
I am an assistant professor of Computing and Mathematical Sciences at the California Institute of Technology. I am the director of the DOLCIT, which is broadly centered around research pertaining statistical decision theory, statistical machine learning, and optimization. I am also on the Scientific Committee for Caltech's new Center for Autonomous Systems and Technology (CAST).
NeurIPS Workshop
Please consider submitting to or attending the NeurIPS 2019 Workshop on Safety and Robustness in Decision-making!
PhD Recruiting
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.
Research
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, as well as the Center for Autonomous Systems and Technology (CAST) and the Center for the Mathematics of Information (CMI).

I am particularly interested in developing novel methods for interactive machine learning and structured machine learning. 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, behavior analysis, sports analytics, experiment design for science, program synthesis, learning-accelerated optimization, robotics, and adaptive planning & allocation problems.
Selected Recent Publications & Preprints:
  • Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning
    Abhinav Verma, Hoang M. Le, Yisong Yue, Swarat Chaudhuri
    [arxiv]
  • Co-Training for Policy Learning
    Jialin Song, Ravi Lanka, Yisong Yue, Masahiro Ono
    Conference on Uncertainty in Artificial Intelligence (UAI), July 2019.
    (Oral Presentation)
    [pdf][slides][code]
  • Batch Policy Learning under Constraints
    Hoang M. Le, Cameron Voloshin, Yisong Yue
    International Conference on Machine Learning (ICML), June 2019.
    (Oral Presentation)
    [pdf][arxiv][project]
  • Neural Lander: Stable Drone Landing Control using Learned Dynamics
    Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, Soon-Jo Chung
    International Conference on Robotics and Automation (ICRA), May 2019.
    [pdf][arxiv][demo video][press release]
  • Generating Multi-Agent Trajectories using Programmatic Weak Supervision
    Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey
    International Conference on Learning Representations (ICLR), May 2019.
    [pdf][arxiv][demo video][code]
  • Hierarchical Imitation and Reinforcement Learning
    Hoang M. Le, Nan Jiang, Alekh Agarwal, Miroslav Dudík, Yisong Yue, Hal Daumé III
    International Conference on Machine Learning (ICML), July 2018.
    [pdf][arxiv][project]
  • Iterative Amortized Inference
    Joseph Marino, Yisong Yue, Stephan Mandt
    International Conference on Machine Learning (ICML), July 2018.
    [pdf][arxiv][code]
  • Near-Optimal Machine Teaching via Explanatory Teaching Sets
    Yuxin Chen, Oisin Mac Aodha, Shihan Su, Pietro Perona, Yisong Yue
    International Conference on Artificial Intelligence and Statistics (AISTATS), April 2018.
    [pdf]
  • Multi-dueling Bandits with Dependent Arms
    Yanan Sui, Vincent Zhuang, Joel Burdick, Yisong Yue
    Conference on Uncertainty in Artificial Intelligence (UAI), August 2017.
    [pdf][arxiv]
  • A Deep Learning Approach for Generalized Speech Animation
    Sarah Taylor, Taehwan Kim, Yisong Yue, Moshe Mahler, James Krahe, Anastasio Garcia Rodriguez, Jessica Hodgins, Iain Matthews
    ACM Conference on Computer Graphics (SIGGRAPH), July 2017.
    [pdf][demo video]
News & Announcements
[All Content © 2019 Yisong Yue]