WASD / Arrows to move  • SPACE near a poster to open paper
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Preprint 2025
WebGames: Challenging General-Purpose Web-Browsing AI Agents

G. Thomas, A. J. Chan, J. Kang, W. Wu, F. Christianos, F. Greenlee, A. Toulis, et al.

Workshop 2025
LM2: Large Memory Models for Long Context Reasoning

J. Kang, W. Wu, F. Christianos, A. J. Chan, F. D. Greenlee, G. Thomas, et al.

NeurIPS 2024
Discovering Preference Optimization Algorithms with and for Large Language Models

C. Lu, S. Holt, C. Fanconi, A. J. Chan, J. Foerster, M. van der Schaar, & R. T. Lange

ICML 2024
Dense Reward for Free in Reinforcement Learning from Human Feedback

A. J. Chan, H. Sun, S. Holt, & M. van der Schaar

ICLR 2024
How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions

L. Pacchiardi, A. J. Chan, S. Mindermann, I. Moscovitz, A. Pan, Y. Gal, O. Evans, & J. M. Brauner

JDMLR 2024
When is Off-Policy Evaluation (Reward Modeling) Useful in Contextual Bandits? A Data-Centric Perspective

H. Sun, A. J. Chan, N. Seedat, A. Hüyük, & M. van der Schaar

Workshop 2024
Actions Speak Louder than Words: Superficial Fairness Alignment in LLMs

Q. Wei, A. J. Chan, L. Goetz, D. Watson, & M. van der Schaar

Workshop 2023
Optimising Human-AI Collaboration by Finding Convincing Explanations

A. J. Chan, A. Huyuk, & M. van der Schaar

Preprint 2023
Harmonizing Global Voices: Culturally-Aware Models for Enhanced Content Moderation

A. J. Chan, J. L. R. García, F. Silvestri, C. O'Donnell, & K. Palla

NeurIPS 2023
GAUCHE: A Library for Gaussian Processes in Chemistry

R. R. Griffiths, L. Klarner, H. Moss, A. Ravuri, S. T. Truong, B. Rankovic, et al.

NeurIPS D&B 2022
AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems

J. Berrevoets, D. Jarrett, A. J. Chan, & M. van der Schaar

Workshop 2022
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes

T. Liu, A. J. Chan, B. van Breugel, & M. van der Schaar

ICLR 2022
POETREE: Interpretable Policy Learning with Adaptive Decision Trees

A. Pace, A. J. Chan, & M. van der Schaar

NeurIPS D&B 2021
The Medkit-learn(ing) Environment: Medical Decision Modelling through Simulation

A. J. Chan, I. Bica, A. Huyuk, D. Jarrett, & M. van der Schaar

ICLR 2021
Scalable Bayesian Inverse Reinforcement Learning

A. J. Chan & M. van der Schaar

ICLR 2021
Generative Time-series Modeling with Fourier Flows

A. M. Alaa, A. J. Chan, & M. van der Schaar

ICML 2020
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift

A. J. Chan, A. M. Alaa, Z. Qian, & M. van der Schaar

MPhil Thesis 2020
Interpretable Policy Learning

A. J. Chan & M. van der Schaar

BSc Thesis 2019
Probabilistic Deep Learning

A. J. Chan & R. Silva