PPaperPicks

Craig Boutilier

10 papers at tracked venues · 8 at CORE A* · active 2024–2026

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Venues

NeurIPS ×3ICLR ×2AAAI ×1EACL ×1ICML ×1IJCAI ×1SIGIR ×1

Frequent coauthors

Guy Tennenholtz
×7
Yinlam Chow
×5
Chih-Wei Hsu
×5
Ofer Meshi
×4
Martin Mladenov
×3
Jihwan Jeong
×2
Deepak Ramachandran
×2
Lior Shani
×2
Krisztian Balog
×1
Sally Goldman
×1
Avi Caciularu
×1
Amir Globerson
×1

Papers

  1. ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders
    EACL 2026 ·
    Ofer Meshi
    ,
    Krisztian Balog
    ,
    Sally Goldman
    ,
    Avi Caciularu
    ,
    Guy Tennenholtz
    ,
    Jihwan Jeong
    ,
    Amir Globerson
    , Craig Boutilier
  2. Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
    ICLR 2025 ·
    Yinlam Chow
    ,
    Guy Tennenholtz
    ,
    Izzeddin Gur
    ,
    Vincent Zhuang
    ,
    Bo Dai
    ,
    Aviral Kumar
    ,
    Rishabh Agarwal
    ,
    Sridhar Thiagarajan
    , Craig Boutilier,
    Aleksandra Faust
  3. Preference Adaptive and Sequential Text-to-Image Generation
    ICML 2025 ·
    Ofir Nabati
    ,
    Guy Tennenholtz
    ,
    Chih-Wei Hsu
    ,
    Moonkyung Ryu
    ,
    Deepak Ramachandran
    ,
    Yinlam Chow
    ,
    Xiang Li
    , Craig Boutilier
  4. Demystifying Embedding Spaces using Large Language Models
    ICLR 2024 ·
    Guy Tennenholtz
    ,
    Yinlam Chow
    ,
    Chih-Wei Hsu
    ,
    Jihwan Jeong
    ,
    Lior Shani
    ,
    Azamat Tulepbergenov
    ,
    Deepak Ramachandran
    ,
    Martin Mladenov
    , Craig Boutilier
  5. Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval
    NeurIPS 2024 ·
    Haolun Wu
    ,
    Ofer Meshi
    ,
    Masrour Zoghi
    ,
    Fernando Diaz
    ,
    Xue (Steve) Liu
    , Craig Boutilier,
    Maryam Karimzadehgan
  6. DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
    NeurIPS 2024 ·
    Anthony Liang
    ,
    Guy Tennenholtz
    ,
    Chih-Wei Hsu
    ,
    Yinlam Chow
    ,
    Erdem Biyik
    , Craig Boutilier
  7. Embedding-Aligned Language Models
    NeurIPS 2024 ·
    Guy Tennenholtz
    ,
    Yinlam Chow
    ,
    Chih-Wei Hsu
    ,
    Lior Shani
    ,
    Yi Liang
    , Craig Boutilier
  8. Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies
    SIGIR 2024 ·
    Chih-Wei Hsu
    ,
    Martin Mladenov
    ,
    Ofer Meshi
    ,
    James Pine
    ,
    Hubert Pham
    ,
    Shane Li
    ,
    Xujian Liang
    ,
    Anton Polishko
    ,
    Li Yang
    ,
    Ben Scheetz
    , Craig Boutilier
  9. Model-Free Preference Elicitation
    IJCAI 2024 ·
    Carlos Martin
    , Craig Boutilier,
    Ofer Meshi
    ,
    Tuomas Sandholm
  10. Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization
    AAAI 2024 · Craig Boutilier,
    Martin Mladenov
    ,
    Guy Tennenholtz