Alex J. Chan

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 18

Top Topics

Unlabelled Data

Allocation Policies

Inverse Reinforcement Learning

Top Venues

Publications

Alex J. Chan, Hao Sun, Samuel Holt, Mihaela van der Schaar
Dense Reward for Free in Reinforcement Learning from Human Feedback. CoRR (2024)
Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob N. Foerster, Mihaela van der Schaar, Robert Tjarko Lange
Discovering Preference Optimization Algorithms with and for Large Language Models. CoRR (2024)
Jeroen Berrevoets, Daniel Jarrett, Alex J. Chan, Mihaela van der Schaar
AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems. NeurIPS (2023)
Alex J. Chan, Alihan Hüyük, Mihaela van der Schaar
Optimising Human-AI Collaboration by Learning Convincing Explanations. CoRR (2023)
Lorenzo Pacchiardi, Alex J. Chan, Sören Mindermann, Ilan Moscovitz, Alexa Y. Pan, Yarin Gal, Owain Evans, Jan Brauner
How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions. CoRR (2023)
Alex J. Chan, José Luis Redondo García, Fabrizio Silvestri, Colm O'Donnel, Konstantina Palla
Harmonizing Global Voices: Culturally-Aware Models for Enhanced Content Moderation. CoRR (2023)
Hao Sun, Alex J. Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar
When is Off-Policy Evaluation Useful? A Data-Centric Perspective. CoRR (2023)
Alex J. Chan, Mihaela van der Schaar
Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning. CoRR (2022)
Tennison Liu, Alex J. Chan, Boris van Breugel, Mihaela van der Schaar
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes. CoRR (2022)
Alex J. Chan, Mihaela van der Schaar
Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning. NeurIPS (2022)
Alizée Pace, Alex J. Chan, Mihaela van der Schaar
POETREE: Interpretable Policy Learning with Adaptive Decision Trees. CoRR (2022)
Alex J. Chan, Alicia Curth, Mihaela van der Schaar
Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies. CoRR (2022)
Alex J. Chan, Alicia Curth, Mihaela van der Schaar
Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies. ICLR (2022)
Alex J. Chan, Mihaela van der Schaar
Scalable Bayesian Inverse Reinforcement Learning. CoRR (2021)
Alex J. Chan, Ioana Bica, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation. NeurIPS Datasets and Benchmarks (2021)
Alex J. Chan, Ioana Bica, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation. CoRR (2021)
Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. CoRR (2020)
Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. ICML (2020)