Bucket List

Courses I want to take

Tsinghua University Machine Learning

• Taken as a virtual exchange student.

CS25: Transfomers United

• https://web.stanford.edu/class/cs25/
• April to June 2025

CS2881: AI Safety

• https://boazbk.github.io/mltheoryseminar/
• September to December 2025

CS234: Reinforcement Learning

• https://web.stanford.edu/class/cs234/
• 2024

CS224W: Machine Learning with Graphs

• https://web.stanford.edu/class/cs224w/
• 2021 videos, but 2024 lectures

ARENA

Learning Deep Representation of Data Distributions

• https://ma-lab-berkeley.github.io/deep-representation-learning-book/

LM Inference @ CMU

• https://phontron.com/class/lminference-fall2025/

Deep Generative Models @ MIT

• https://mit-6s978.github.io/

Introduction to Flow Matching and Diffusion Models

• https://diffusion.csail.mit.edu/

NTU Stochastic Processes

NTU Mathematics for Deep Learning

Textbooks I want to read

• Designing Data Intensive Applications
• Reinforcement Learning by Sutton and Barto
• Designing Machine Learning Systems
• Reliable Machine Learning

Blogs I want to read

• Machine Learning Interviews (https://huyenchip.com/ml-interviews-book/)
• How to Scale Your Model (https://jax-ml.github.io/scaling-book/)
• Paper list about interpretability (https://docs.google.com/document/d/1WjvCrQhljXQh4zOblmlXFlC-wWTWfc6f9XZKGRN_6eU/edit?tab=t.0)
• Linear algebra rehash (https://immersivemath.com/ila/index.html)