PPaperPicks

Guy Tennenholtz

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

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Venues

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

Frequent coauthors

Craig Boutilier
×7
Yinlam Chow
×5
Chih-Wei Hsu
×4
Jihwan Jeong
×2
Deepak Ramachandran
×2
Lior Shani
×2
Martin Mladenov
×2
Ofer Meshi
×1
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. Bayesian Regret Minimization in Offline Bandits
    ICML 2024 ·
    Marek Petrik
    , Guy Tennenholtz,
    Mohammad Ghavamzadeh
  5. Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
    ICLR 2024 ·
    Alizée Pace
    ,
    Hugo Yèche
    ,
    Bernhard Schölkopf
    ,
    Gunnar Rätsch
    , Guy Tennenholtz
  6. 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
  7. 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
  8. Embedding-Aligned Language Models
    NeurIPS 2024 · Guy Tennenholtz,
    Yinlam Chow
    ,
    Chih-Wei Hsu
    ,
    Lior Shani
    ,
    Yi Liang
    ,
    Craig Boutilier
  9. Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization
    AAAI 2024 ·
    Craig Boutilier
    ,
    Martin Mladenov
    , Guy Tennenholtz