Scholar
Yue Yu
Google Scholar ID: xJvt1A0AAAAJ
PhD in Statistical Science, Indiana University
Citations & Impact
Citations
15
H-index
1
i10-index
1
Publications
4
Co-authors
0
Publications
Resume
Academic Achievements
- Paper 'Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation' accepted to Uncertainty in Artificial Intelligence 2025 conference; Passed both Theory and Data Analysis qualification exams of the Statistical Science PhD program.
Research Experience
- No specific work experience or research projects mentioned.
Education
- PhD candidate in Statistical Science at Indiana University; Completed the Computer Science PhD minor requirement.
Background
- Research interests include Machine Learning and Sports Analytics. Recent focuses are on Generative Artificial Intelligence Modeling (such as Diffusion and Flow-based Models) and Reinforcement Learning, specifically Continuous-time and Multi-task RL.
Miscellany
- Contact: IU email and LinkedIn; Website powered by Jekyll with al-folio theme. Hosted by GitHub Pages.