Schedule (tentative)

• Hu and Shu, 2023: Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning

• PRML, Chapter 8 (Graphical Models): 8.1, 8.2 (Optional)

• PRML, Appendix D. Calculus of Variations

• Blei et al., Latent Dirichlet Allocation

• Borman, The EM algorithm (A short tutorial)

• Devlin et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

• Kipf and Welling, Semi-Supervised Classification with Graph Convolutional Networks

• (Optional) You et al., Design Space for Graph Neural Networks

• Bordes et al., Translating Embeddings for Modeling Multi-relational Data

• Guu et al., Traversing Knowledge Graphs in Vector Space

• Wang, et al. Neural Graph Collaborative Filtering

• (Optional) Ying, et al., Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Project final report due