Guy Tennenholtz

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. Bayesian Regret Minimization in Offline Bandits
   ICML 2024 ·

   Marek Petrik

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5. Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
   ICLR 2024 ·

   Alizée Pace

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6. Demystifying Embedding Spaces using Large Language Models
   ICLR 2024 · Guy Tennenholtz
7. DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
   NeurIPS 2024 ·

   Anthony Liang

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8. Embedding-Aligned Language Models
   NeurIPS 2024 · Guy Tennenholtz
9. Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization
   AAAI 2024 ·

   Craig Boutilier

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