← Authors

Craig Boutilier

42 papers · 2010–2026 · 9 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (15) πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (10) πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (142) ⚑ Prolific Year (8) πŸš€ Conference Pioneer πŸ’Ž Century Club (41) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter

Conferences

IJCAI (15) NIPS (10) ICML (5) ICLR (4) AAAI (3) AISTATS (2) EACL (1) JMLR (1) UAI (1)

Top co-authors

Yinlam Chow (10) Martin Mladenov (9) Guy Tennenholtz (8) Branislav Kveton (8) Mohammad Ghavamzadeh (7) Tyler Lu (7) Ofer Meshi (6) Manzil Zaheer (5) Csaba SzepesvΓ‘ri (5) Dale Schuurmans (5)

Keywords

recommender system (5) regret bound (5) reinforcement learning (4) thompson sampling (4) user modeling (3) recommendation system (3) multi-armed bandit (3) model-based reinforcement learning (3) markov decision process (3) policy gradient (3) expected value of information (3) value iteration (3) policy optimization (2) contextual bandit (2) exploration strategy (2) social welfare (2) bayesian inference (2) policy learning (2) regret minimization (2) online algorithm (2)

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
Demystifying Embedding Spaces using Large Language Models ICLR 2024
Embedding-Aligned Language Models NIPS 2024
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval 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
Model-Free Preference Elicitation IJCAI 2024
A Mixture-of-Expert Approach to RL-based Dialogue Management ICLR 2023
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models NIPS 2023
Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management NIPS 2023
Reinforcement Learning with History Dependent Dynamic Contexts ICML 2023
Thompson Sampling with a Mixture Prior AISTATS 2022
Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities AAAI 2022
IMO^3: Interactive Multi-Objective Off-Policy Optimization IJCAI 2022
Meta-Thompson Sampling ICML 2021
BRPO: Batch Residual Policy Optimization IJCAI 2020
Differentiable Meta-Learning of Bandit Policies NIPS 2020
Latent Bandits Revisited NIPS 2020
Gradient-Based Optimization for Bayesian Preference Elicitation AAAI 2020
Randomized Exploration in Generalized Linear Bandits AISTATS 2020
CAQL: Continuous Action Q-Learning ICLR 2020
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach ICML 2020
ConQUR: Mitigating Delusional Bias in Deep Q-Learning ICML 2020
SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets IJCAI 2019
Perturbed-History Exploration in Stochastic Linear Bandits UAI 2019
Advantage Amplification in Slowly Evolving Latent-State Environments IJCAI 2019
Perturbed-History Exploration in Stochastic Multi-Armed Bandits IJCAI 2019
Data center cooling using model-predictive control NIPS 2018
Planning and Learning with Stochastic Action Sets IJCAI 2018
Non-delusional Q-learning and value-iteration NIPS 2018
Logistic Markov Decision Processes IJCAI 2017
Multiple-Profile Prediction-of-Use Games IJCAI 2017
Approximately Stable Pricing for Coordinated Purchasing of Electricity IJCAI 2015
Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data JMLR 2014
Multi-Winner Social Choice with Incomplete Preferences IJCAI 2013
Elicitation and Approximately Stable Matching with Partial Preferences IJCAI 2013
Multi-Dimensional Single-Peaked Consistency and Its Approximations IJCAI 2013
Analysis and Optimization of Multi-Dimensional Percentile Mechanisms IJCAI 2013
Efficient Vote Elicitation under Candidate Uncertainty IJCAI 2013
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets NIPS 2010