← authors · overview

• Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks
  2017 · 163 citations
• Specializing Joint Representations for the task of Product Recommendation
  2017 · 17 citations
• Recommendation System-based Upper Confidence Bound for Online Advertising
  2019 · 8 citations
• Learning from Bandit Feedback: An Overview of the State-of-the-art
  2019 · 5 citations
• Causal Embeddings for Recommendation: An Extended Abstract
  2019 · 3 citations
• On the Value of Bandit Feedback for Offline Recommender System Evaluation
  2019 · 3 citations
• Three Methods for Training on Bandit Feedback
  2019 · 1 citations
• From Clicks to Conversions: Recommendation for long-term reward
  2020 · 1 citations
• Probabilistic Rank and Reward: A Scalable Model for Slate Recommendation
  2022 · 1 citations
• AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting
  2023 · 1 citations
• Combining Reward and Rank Signals for Slate Recommendation
  2021
• What Users Want? WARHOL: A Generative Model for Recommendation
  2021