Craig Boutilier

Venues

Frequent coauthors

Papers

1. ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders
   EACL 2026 ·

   Ofer Meshi

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2. Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
   ICLR 2025 ·

   Yinlam Chow

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3. Preference Adaptive and Sequential Text-to-Image Generation
   ICML 2025 ·

   Ofir Nabati

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4. Demystifying Embedding Spaces using Large Language Models
   ICLR 2024 ·

   Guy Tennenholtz

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5. Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval
   NeurIPS 2024 ·

   Haolun Wu

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6. DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
   NeurIPS 2024 ·

   Anthony Liang

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7. Embedding-Aligned Language Models
   NeurIPS 2024 ·

   Guy Tennenholtz

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8. Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies
   SIGIR 2024 ·

   Chih-Wei Hsu

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9. Model-Free Preference Elicitation
   IJCAI 2024 ·

   Carlos Martin

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10. Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization
    AAAI 2024 · Craig Boutilier