Guy Tennenholtz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
5
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders. | Ofer Meshi, Krisztian Balog, Sally Goldman, Avi Caciularu, Guy Tennenholtz, Jihwan Jeong, Amir Globerson, Craig Boutilier |
| 2025 | ICLR | Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models. | Yinlam Chow, Guy Tennenholtz, Izzeddin Gur, Vincent Zhuang, Bo Dai, Aviral Kumar, Rishabh Agarwal, Sridhar Thiagarajan, Craig Boutilier, Aleksandra Faust |
| 2025 | ICML | Preference Adaptive and Sequential Text-to-Image Generation. | Ofir Nabati, Guy Tennenholtz, Chih-Wei Hsu, Moonkyung Ryu, Deepak Ramachandran, Yinlam Chow, Xiang Li, Craig Boutilier |
| 2024 | AAAI | Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization. | Craig Boutilier, Martin Mladenov, Guy Tennenholtz |
| 2024 | ICLR | Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding. | Alize Pace, Hugo Yche, Bernhard Schlkopf, Gunnar Rtsch, Guy Tennenholtz |
| 2024 | ICLR | Demystifying Embedding Spaces using Large Language Models. | Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier |
| 2024 | ICML | Bayesian Regret Minimization in Offline Bandits. | Marek Petrik, Guy Tennenholtz, Mohammad Ghavamzadeh |
| 2023 | ICML | Representation-Driven Reinforcement Learning. | Ofir Nabati, Guy Tennenholtz, Shie Mannor |
| 2023 | ICML | Reinforcement Learning with History Dependent Dynamic Contexts. | Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier |
| 2022 | AAAI | Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning. | Roy Zohar, Shie Mannor, Guy Tennenholtz |
| 2022 | ICLR | On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning. | Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit |
| 2021 | UAI | Action redundancy in reinforcement learning. | Nir Baram, Guy Tennenholtz, Shie Mannor |
| 2021 | UAI | Bandits with partially observable confounded data. | Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni |
| 2020 | AAAI | Off-Policy Evaluation in Partially Observable Environments. | Guy Tennenholtz, Uri Shalit, Shie Mannor |
| 2019 | ICML | The Natural Language of Actions. | Guy Tennenholtz, Shie Mannor |