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Guy Tennenholtz

20 papers · 2019–2026 · 6 venues · across top CS/AI venues

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Achievements

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (40) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ‘‘ Triple Crown πŸ† Grand Slam 🀝 Dynamic Duo (10) ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (87) πŸ”₯ Unstoppable Β· Bronze

Venues

ICML (5) NeurIPS (5) ICLR (4) AAAI (3) UAI (2) EACL (1)

Top co-authors

Shie Mannor (10) Craig Boutilier (8) Yinlam Chow (5) Lior Shani (4) Uri Shalit (4) Martin Mladenov (3) Gal Dalal (2) Assaf Hallak (2) Gal Chechik (2) Chih-wei Hsu (2)

Research topics

Machine Learning (13) Reinforcement Learning (13) Artificial Intelligence (12) Methods (12) Core AI (10) Learning Types Β· Machine Learning (10) Deep Learning (4) Applications (4) Natural Language Processing (3) Core Methods (3) Learning Types Β· Deep Learning (3) Optimization & Theory (3) Mathematics & Optimization (2) Application Areas (2) Learning Paradigms (2)

Keywords

reinforcement learning (10) regret bound (3) contextual bandit (3) model-based reinforcement learning (3) generative model (3) embedding learning (2) offline reinforcement learning (2) markov decision process (2) imitation learning (2) policy gradient (2) causal inference (2) recommender system (2) uncertainty quantification (1) function approximation (1) temporal dynamics (1) off-policy evaluation (1) representation learning (1) policy optimization (1) behavior cloning (1) mechanism design (1)

Papers

ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders EACL 2026 Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models ICLR 2025 Preference Adaptive and Sequential Text-to-Image Generation ICML 2025 Bayesian Regret Minimization in Offline Bandits ICML 2024 Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding ICLR 2024 Demystifying Embedding Spaces using Large Language Models ICLR 2024 DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning NeurIPS 2024 Embedding-Aligned Language Models NeurIPS 2024 Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization AAAI 2024 Reinforcement Learning with History Dependent Dynamic Contexts ICML 2023 Representation-Driven Reinforcement Learning ICML 2023 Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning AAAI 2022 On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning ICLR 2022 Reinforcement Learning with a Terminator NeurIPS 2022 Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning NeurIPS 2022 Action redundancy in reinforcement learning UAI 2021 Bandits with partially observable confounded data UAI 2021 Off-Policy Evaluation in Partially Observable Environments AAAI 2020 Distributional Policy Optimization: An Alternative Approach for Continuous Control NeurIPS 2019 The Natural Language of Actions ICML 2019