1. Introduction
  2. Current Focus
  3. Recommender Systems
    1. Recent Trends
    2. Gradient Boosting
    3. TF-IDF
    4. Cross Encoders
    5. SentenceTransformers
    6. Collaborative Filtering
    7. Evaluation
  5. AB Testing
    1. Examples
    2. Power Analysis
  7. LLMs
    1. Auto Prompt Optimization
    2. Fine-tuning
    3. Useful Models
    4. Encoder vs Decoder
    5. Contextualized Recommendations
    6. MinGPT
  9. Statistics
    1. Conformal Predictions
  11. Miscellaneous
    1. Bradley-Terry Model
    2. Setting up WSL
    3. To Read
    4. Packages
    5. Skills
    6. Hash Collisions
    7. IMO 2025 Q6
  13. Identities
    1. Sigmoid
    2. Statistics
  15. Papers
    1. Weinberger 2009 - Hashing for Multitask Learning
    2. Rendle 2009 - Bayesian Personalized Ranking
    3. Burges 2010 - RankNET to LambdaMART
    4. Schroff 2015 - FaceNET
    5. Covington 2016 - Deep NNs for Youtube Recs
    6. Schnabel 2016 - Recs as Treatments
    7. Doersch 2016 - Tutorial on VAEs
    8. Bateni 2017 - Affinity Clustering
    9. Guo 2017 - DeepFM
    10. Van Den Oord 2017 - VQ-VAE
    11. Hamilton 2017 - GraphSAGE
    12. Ma 2018 - Entire Space Multi-Task Model
    13. Kang 2018 - SASRec
    14. Reimers 2019 - Sentence-BERT
    15. Yi 2019 - LogQ Correction for In Batch Sampling
    16. Zhao 2019 - Recommending What to Watch Next
    17. Lee 2020 - Large Scale Video Representation Learning
    18. He 2020 - LightGCN
    19. Lewis 2020 - Retrieval Augmented Generation
    20. Wang 2020 - DCNv2
    21. Gao 2021 - GradCache
    22. Gao 2021 - SimCSE
    23. Weng 2021 - Contrastive Representation Learning
    24. Li 2021 - TaoBao Embedding-Based Retrieval
    25. Zou 2021 - PLM Based Ranking in Baidu Search
    26. Dao 2022 - Flash Attention
    27. Wei 2022 - CoT Prompting in LLMs
    28. Honovich 2022 - Instruction Induction
    29. Huang 2022 - LLMs can Self Improve
    30. Tunstall 2022 - SetFit
    31. Wang 2022 - Self Consistency LLM
    32. Lee 2022 - RQ-VAE
    33. Tay 2022 - Differentiable Search Index
    34. Rafailov 2023 - Direct Preference Optimization
    35. Blecher 2023 - Nougat
    36. Dong 2023 - MINE Loss
    37. Liu 2023 - Meaning Representations from Trajectories
    38. Klenitskiy 2023 - BERT4Rec vs SASRec
    39. Singh 2023 - Semantic IDs for Recs
    40. Yang 2023 - OPRO
    41. Rajput 2023 - Generative Retrieval
    42. Borisyuk 2024 - GNN at LinkedIn
    43. Wang 2024 - LLM for Pinterest Search
    44. Solatorio 2024 - GISTEmbed
    45. Sanjabi 2025 - 360Brew
    46. Zhang 2025 - Qwen3 Embedding
  17. Talks / Articles
    1. Yan 2025 - LLM for Recsys
    2. Tandon 2025 - Gemini for YouTube
    3. Hameed 2025 - 360Brew
    4. Han 2025 - GRPO Example
  19. NLP Course
  20. Database Course
    1. Lecture 1
    2. Lecture 2
    3. Lecture 3
  22. RL Course
    1. Introduction
    2. MDPs
    3. Dynamic Programming
    4. Model Free Prediction
    5. Model Free Control
    6. Value Function Approximation
    7. Policy Gradient
    8. Learning & Planning