Craig Boutilier

University of British Columbia — Canada

Computer Science · Physical Sciences

62h-index17.2kcitations310works0.92yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Bayesian Modeling and Causal Inference(68), Auction Theory and Applications(63), Reinforcement Learning in Robotics(56), Logic, Reasoning, and Knowledge(50), Advanced Bandit Algorithms Research(47)

Publications310 total

Asking Clarifying Questions for Preference Elicitation With Large Language Models
arXiv (Cornell University)·2025Open Access
Synthetic Dialogue Generation for Interactive Conversational Elicitation & Recommendation (ICER)
arXiv (Cornell University)·2025Open Access
Descriptive History Representations: Learning Representations by Answering Questions
arXiv (Cornell University)·2025Open Access
Scalable Precise Computation of Shannon Entropy
Dagstuhl Research Online Publication Server·2025· 3 citedOpen Access
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
arXiv (Cornell University)·2024· 1 citedOpen Access
Preference Adaptive and Sequential Text-to-Image Generation
arXiv (Cornell University)·2024Open Access
Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection
2024· 1 citedOpen Access
Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies
2024· 5 citedOpen Access
Embedding-Aligned Language Models
arXiv (Cornell University)·2024Open Access
Discovering Personalized Semantics for Soft Attributes in Recommender Systems Using Concept Activation Vectors
ACM Transactions on Recommender Systems·2024· 1 citedOpen Access
Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 3 citedOpen Access
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
arXiv (Cornell University)·2024Open Access
Embedding-Aligned Language Models
2024
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval
2024
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
2024
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis
ACM Transactions on Recommender Systems·2023· 74 citedOpen Access
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval
arXiv (Cornell University)·2023Open Access
Preference Elicitation with Soft Attributes in Interactive Recommendation
arXiv (Cornell University)·2023Open Access
Factual and Personalized Recommendations using Language Models and Reinforcement Learning
arXiv (Cornell University)·2023Open Access
Demystifying Embedding Spaces using Large Language Models
arXiv (Cornell University)·2023· 5 citedOpen Access
page 1 of 16Next →

Frequent Co-authors

Moisés Goldszmidt(7), Pascal Poupart(6), Tyler Lu(6), Ronen I. Brafman(5), Holger H. Hoos(5), Jesse Hoey(5), David Poole(4), Richard Dearden(3), Thomas Dean(3), Alex Mihailidis(3), Steve Hanks(2), Carmel Domshlak(2), Nir Friedman(2), Daphne Koller(2), Robert St‐Aubin(2), Miloš Hauskrecht(2), Nicolas Meuleau(2), Leslie Pack Kaelbling(2), Jennifer Boger(2), Geoff Fernie(2)