| layout | title | weight |
|---|---|---|
full-width |
Papers |
2 |
*[Prediction-Powered Adaptive Shrinkage Estimation](https://arxiv.org/abs/2502.14166)*
*In Submission* (2025), [📒slides](https://drive.google.com/file/d/1ndle1kcX7jKnsyVYRcS_JNwLssjqu_1n/view?usp=sharing)
**Sida Li**, Nikolaos Ignatiadis
*[GFN-SR: Generative Flow Networks for Symbolic Regression]({{site.baseurl}}/assets/pdf/gfn.pdf)*
*NeurIPS AI4Science* (2023)
**Sida Li**, Ioana Marinescu, Sebastian Musslick
*[Evaluating Computational Discovery in the Behavioral and Brain Sciences](http://cogsys.org/symposium/discovery-2023/abstracts/Abstract_3481.pdf)*
*AAAI Spring Symposium Series* (2023)
Sebastian Musslick, Joshua Hewson, Ben Andrew, **Sida Li**, George Dang, John Gerrard Holland
*[AutoRA: Automated research assistant for closed-loop empirical research](https://joss.theoj.org/papers/10.21105/joss.06839.pdf)*
*Journal of Open Source Software* (2024)
Sebastian Musslick, Benjamin Andrew, Chad C Williams, **Sida Li**, Ioana Marinescu, Marina Dubova, George T Dang, Younes Strittmatter, John G Holland
*[Amortization and Surrogate Gaps in Variational Sequential Monte Carlo]({{site.baseurl}}/assets/pdf/gap_vsmc.pdf)*
*Advanced Bayesian Methodologies Seminar* (2023)
**Sida Li**, Aaron Schein
*[Feedback Linearization of Car Dynamics for Racing viar Reinforcement Learning](https://www.arxiv.org/abs/2110.10441)*
*Arxiv* (2021)
Michael Estrada, **Sida Li**, Xiangyu Cai