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Craig Boutilier

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Density-based User Representation through Gaussian Process Regression for Multi-interest Personalized Retrieval

Nov 15, 2023
Haolun Wu, Ofer Meshi, Masrour Zoghi, Fernando Diaz, Xue Liu, Craig Boutilier, Maryam Karimzadehgan

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Preference Elicitation with Soft Attributes in Interactive Recommendation

Oct 22, 2023
Erdem Biyik, Fan Yao, Yinlam Chow, Alex Haig, Chih-wei Hsu, Mohammad Ghavamzadeh, Craig Boutilier

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Factual and Personalized Recommendations using Language Models and Reinforcement Learning

Oct 09, 2023
Jihwan Jeong, Yinlam Chow, Guy Tennenholtz, Chih-Wei Hsu, Azamat Tulepbergenov, Mohammad Ghavamzadeh, Craig Boutilier

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Demystifying Embedding Spaces using Large Language Models

Oct 06, 2023
Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier

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Modeling Recommender Ecosystems: Research Challenges at the Intersection of Mechanism Design, Reinforcement Learning and Generative Models

Sep 22, 2023
Craig Boutilier, Martin Mladenov, Guy Tennenholtz

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Content Prompting: Modeling Content Provider Dynamics to Improve User Welfare in Recommender Ecosystems

Sep 02, 2023
Siddharth Prasad, Martin Mladenov, Craig Boutilier

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DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models

May 25, 2023
Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee

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Aligning Text-to-Image Models using Human Feedback

Feb 23, 2023
Kimin Lee, Hao Liu, Moonkyung Ryu, Olivia Watkins, Yuqing Du, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Shixiang Shane Gu

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