2025
High-Dimensional Variance
December 28, 2025
A useful view of a covariance matrix that is a natural generalization of variance to higher dimensions.
Linear Algebra Probability and Statistics
Principal Component Analysis
November 02, 2025
Principal component analysis (PCA) is a simple, fast, and elegant linear method for data analysis. I explore PCA in detail, first with picture and intuition, then with linear algebra and detailed derivations, and finally with code.
Statistical Modeling Linear Modeling
2023
Active Information Gathering Agent
June 11, 2023
Final project in Deep Reinforcement Learning class; collaborated with Botian Xu.
RL Project
A Survey of Model-Based Reinforcement Learning
May 28, 2023
This survey reviews recent advances in model-based reinforcement learning (MBRL), focusing on model learning and policy optimization frameworks.
RL Survey