Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. - Alex J. Chan; Ahmed M. Alaa; Zhaozhi Qian; Mihaela van der Schaar (ICML, 2020)

Generative Time-series Modeling with Fourier Flows. - Ahmed M. Alaa; Alex James Chan; Mihaela van der Schaar (ICLR, 2021)

Scalable Bayesian Inverse Reinforcement Learning. - Alex James Chan; Mihaela van der Schaar (ICLR, 2021)

The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation. - Alex J. Chan; Ioana Bica; Alihan Hüyük; Daniel Jarrett; Mihaela van der Schaar (NeurIPS Datasets and Benchmarks, 2021)

Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies. - Alex J. Chan; Alicia Curth; Mihaela van der Schaar (ICLR, 2022)

POETREE: Interpretable Policy Learning with Adaptive Decision Trees. - Alizée Pace; Alex J. Chan; Mihaela van der Schaar (ICLR, 2022)

Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning. - Alex J. Chan; Mihaela van der Schaar (NeurIPS, 2022)

Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes. - Tennison Liu; Alex J. Chan; Boris van Breugel; Mihaela van der Schaar (CoRR, 2022)

AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems. - Jeroen Berrevoets; Daniel Jarrett; Alex J. Chan; Mihaela van der Schaar (NeurIPS, 2023)

Optimising Human-AI Collaboration by Learning Convincing Explanations. - Alex J. Chan; Alihan Hüyük; Mihaela van der Schaar (CoRR, 2023)

When is Off-Policy Evaluation Useful? A Data-Centric Perspective. - Hao Sun 017; Alex J. Chan; Nabeel Seedat; Alihan Hüyük; Mihaela van der Schaar (CoRR, 2023)

Harmonizing Global Voices: Culturally-Aware Models for Enhanced Content Moderation. - Alex J. Chan; José Luis Redondo García; Fabrizio Silvestri; Colm O'Donnel; Konstantina Palla (CoRR, 2023)

How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions. - Lorenzo Pacchiardi; Alex James Chan; Sören Mindermann; Ilan Moscovitz; Alexa Y. Pan; Yarin Gal; Owain Evans; Jan Markus Brauner (ICLR, 2024)

Dense Reward for Free in Reinforcement Learning from Human Feedback. - Alex James Chan; Hao Sun 017; Samuel Holt; Mihaela van der Schaar (ICML, 2024)

Discovering Preference Optimization Algorithms with and for Large Language Models. - Chris Lu 001; Samuel Holt; Claudio Fanconi; Alex J. Chan; Jakob N. Foerster; Mihaela van der Schaar; Robert T. Lange (NeurIPS, 2024)

LM2: Large Memory Models. - Jikun Kang; Wenqi Wu; Filippos Christianos; Alex J. Chan; Fraser Greenlee; George Thomas; Marvin Purtorab; Andy Toulis (CoRR, 2025)

WebGames: Challenging General-Purpose Web-Browsing AI Agents. - George Thomas; Alex J. Chan; Jikun Kang; Wenqi Wu; Filippos Christianos; Fraser Greenlee; Andy Toulis; Marvin Purtorab (CoRR, 2025)