After 2024 M.S. Theses

A Statistical Analysis of Wildfire Occurrences in Los Angeles County

Jingfan Xia; M.S., 2026

An Improved Post-Training Framework for Small Language Models Based on Group Relative Policy Optimization (GRPO)

Casey Tattersall; M.S., 2026

Capital in the Capitol: Congressional Trades Resemble Uninformed Retail Trading

Haotian Chen; M.S., 2026

Conditional Conformal Prediction for In-Context Learning: Architecture Scaling, Task Complexity, and Signal-to-Noise Effects

Jinrui Lin; M.S., 2026

Interpreting Othello-Playing Transformers via Sparse Dictionary Learning

Zhiyuan Zhang; M.S., 2026

Machine-Learning-Based G-Computation for Life-Course Sociology

Nanum Jeon; M.S., 2026

Measuring and Modeling Partisan Geographic Segregation with Expected Kullback-Leibler Divergence

Graham Straus; M.S., 2026

Nonrandom Timing, Biased Inference? Rethinking Survey-Based Discontinuities

Elayne Stecher; M.S., 2026

Not Just Noise: Modeling Annotation Ambiguity in Text Analysis

Siyu Liang; M.S., 2026

Potential Bounds for Confidence Radii in Bandits and Reinforcement Learning

Zhenyu He; M.S., 2026

Quantifying Multilevel Effects in the LOCUS Statistics Assessment: An Analysis

Anirudh Divecha; M.S., 2026

Quantifying the Complexity of Multilevel Confirmatory Factor Analysis Models

Yun Kyung Kim; M.S., 2026

Symbolic Language, Embodied Worlds: Multimodal Intelligence in Humans and Machines

Yanru Jiang; M.S., 2026

The Politics of Trade Protection: Evidence, Coalitions, and Rhetoric in International Trade

Shing Hon Lam; M.S., 2026

Variance Reduction Methods for Ratio Metrics in Online Experiments

Lingyi Li; M.S., 2026

Covariate Imbalance and Non-Overlap in Interrupted Survey Designs: A Gaussian Process Approach

Soonhong Cho; M.S., 2025

Incentivizing Truthful Language Models via Peer Elicitation Games

Baiting Chen; M.S., 2025