conftrace_

Guy Tennenholtz

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

Achievements

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+10 more ↓ 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (6) πŸ—ΊοΈ Taxonomy Completionist (29)
🌍 Conference Polyglot (5) πŸƒ Academic Marathon (6) 🧭 Keyword Pioneer 🀝 Dynamic Duo (10) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (64) πŸ’Ž Century Club (19) ⚑ Prolific Year (6)

Conferences

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

Papers

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