Yisong Yue
Professor of Computing and Mathematical Sciences
B.S., University of Illinois, 2005; Ph.D., Cornell University, 2010. Assistant Professor, Caltech, 2014-20; Professor, 2020-.
Research interests: machine learning, artificial intelligence
Overview
Yisong Yue's research interests lie primarily in the theory and application of statistical machine learning. He is particularly interested in developing novel methods for interactive machine learning and structured machine learning. In the past, his research has been applied to information retrieval, recommender systems, text classification, learning from rich user interfaces, analyzing implicit human feedback, clinical therapy, tutoring systems, data-driven animation, behavior analysis, sports analytics, experiment design for science, learning to optimize, policy learning in robotics, and adaptive planning & allocation problems.
Related News
Read more newsPublications
- Laubscher, Emily;Wang, Xuefei (Julie) et al. (2024) Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learningCell Systems
- Israel, Uriah;Marks, Markus et al. (2024) A Foundation Model for Cell SegmentationbioRvix
- Yang, Jason;Ducharme, Julie et al. (2024) Correction to "DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein Engineering"ACS Synthetic Biology
- Talukder, Sabera;Yue, Yisong et al. (2024) TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
- Dorobantu, Victor D.;Azizzadenesheli, Kamyar et al. (2023) Compactly Restrictable Metric Policy Optimization ProblemsIEEE Transactions on Automatic Control
- Voloshin, Cameron;Verma, Abhinav et al. (2023) Eventual Discounting Temporal Logic Counterfactual Experience Replay
- Sun, Jennifer J.;Karashchuk, Pierre et al. (2022) BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos
- Huang, Yujia;Jimenez Rodriguez, Ivan Dario et al. (2022) FI-ODE: Certified and Robust Forward Invariance in Neural ODEs
- Sun, Jennifer J.;Tjandrasuwita, Megan et al. (2022) Neurosymbolic Programming for Science
- Tucker, Maegan;Li, Kejun et al. (2022) POLAR: Preference Optimization and Learning Algorithms for Robotics
Related Courses
2023-24
CMS/CS/CNS/EE/IDS 155 – Machine Learning & Data Mining
CS/CNS/EE/IDS 159 – Advanced Topics in Machine Learning
2022-23
CS/CNS/EE/IDS 159 – Advanced Topics in Machine Learning
2021-22
CMS/CS/CNS/EE/IDS 155 – Machine Learning & Data Mining