All Stories

  1. Practical Bandits: An Industry Perspective
  2. Ad-load Balancing via Off-policy Learning in a Content Marketplace
  3. On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat
  4. CONSEQUENCES — The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems
  5. A Probabilistic Position Bias Model for Short-Video Recommendation Feeds
  6. A Common Misassumption in Online Experiments with Machine Learning Models
  7. Tutorials at The Web Conference 2023
  8. Pessimistic Decision-Making for Recommender Systems
  9. CONSEQUENCES — Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems
  10. Pessimistic Reward Models for Off-Policy Learning in Recommendation
  11. Top-K Contextual Bandits with Equity of Exposure
  12. Closed-Form Models for Collaborative Filtering with Side-Information
  13. Joint Policy-Value Learning for Recommendation
  14. A Gentle Introduction to Recommendation as Counterfactual Policy Learning