Yue Yu
Room 301, Swain East
729 E 3rd Street
Bloomington, IN, US, 47405
My name is Yue Yu, a PhD candidate in Statistical Science at Indiana University.
I have broad research interests in Machine learning, Reinforcement Learning and Spatial Statistics. Some of my recent focuses are in Generative Artificial Intelligence Modeling, such as Diffusion and Flow-based Models and Large Language Models. Specifically, Continuous-time and Multi-task RL, Test Time Inference of LLMs, and RL Post-Training of LLMs.
Feel free to reach out through emails or LinkedIn direct messages if you are interested in potential research collaborations or discussions!
news
| Dec 04, 2025 | One pre-print On the Limits of Test-Time Compute: Sequential Reward Filtering for Better Inference has been posted on arXiv  |
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| Sep 25, 2025 | I’m excited to share that I’ve been admitted to the M.S. in Computer Science program at Indiana University. One more degree to pick up along the Ph.D. journey!   |
| Aug 04, 2025 | One pre-print Instance-Dependent Continuous-Time Reinforcement Learning via Maximum Likelihood Estimation has been posted on arXiv  |
| May 07, 2025 | Our paper Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation has been accepted to the conference Uncertainty in Artificial Intelligence 2025. See you in July at Rio de Janeiro, Brazil   |
| May 23, 2024 | I have passed both Theory and Data Analysis qualification exams of the Statistical Science PhD program at Department of Statistics, College of Arts and Sciences in Indiana University, and will advance to candidacy soon!   |