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Alex J. Chan
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Scalable Bayesian Inverse Reinforcement Learning
AJ Chan, M van der Schaar
International Conference on Learning Representations (ICLR), 2021
582021
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift
AJ Chan, AM Alaa, Z Qian, M van der Schaar
International Conference on Machine Learning (ICML), 2020
422020
Generative Time-Series Modeling with Fourier Flows
AM Alaa, AJ Chan, M van der Schaar
International Conference on Learning Representations (ICLR), 2021
372021
GAUCHE: A Library for Gaussian Processes in Chemistry
RR Griffiths, L Klarner, H Moss, A Ravuri, ST Truong, B Rankovic, Y Du, ...
Advances in Neural Information Processing Systems (NeurIPS), 2023
29*2023
POETREE: Interpretable Policy Learning with Adaptive Decision Trees
A Pace, AJ Chan, M van der Schaar
International Conference on Learning Representations (ICLR), 2022
222022
How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions
L Pacchiardi*, AJ Chan*, S Mindermann, I Moscovitz, AY Pan, Y Gal, ...
International Conference on Learning Representations (ICLR), 2024
192024
The Medkit-Learn (ing) Environment: Medical Decision Modelling through Simulation
AJ Chan, I Bica, A Huyuk, D Jarrett, M van der Schaar
Neural Information Processing Systems (NeurIPS) track on Datasets and Benchmarks, 2021
162021
Dense Reward for Free in Reinforcement Learning from Human Feedback
AJ Chan, H Sun, S Holt, M van der Schaar
International Conference on Machine Learning (ICML), 2024
62024
Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies
AJ Chan, A Curth, M van der Schaar
International Conference on Learning Representations (ICLR), 2022
62022
Synthetic Model Combination: A new machine learning method for pharmacometric model ensembling
AJ Chan, R Peck, M Gibbs, M van der Schaar
CPT: Pharmacometrics & Systems Pharmacology, 2023
42023
Harmonizing Global Voices: Culturally-Aware Models for Enhanced Content Moderation
AJ Chan, JLR García, F Silvestri, C O'Donnel, K Palla
arXiv preprint arXiv:2312.02401, 2023
22023
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes
T Liu, AJ Chan, B van Breugel, M van der Schaar
Algorithmic Fairness through the Lens of Causality and Privacy, 2022
22022
Interpretable Policy Learning
AJ Chan
University of Cambridge, 2020
22020
When is Off-Policy Evaluation Useful? A Data-Centric Perspective
H Sun, AJ Chan, N Seedat, A Hüyük, M van der Schaar
arXiv preprint arXiv:2311.14110, 2023
12023
Optimising Human-AI Collaboration by Learning Convincing Explanations
AJ Chan, A Hüyük, M van der Schaar
XAI in Action: Past, Present, and Future Applications, 2023
12023
AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems
J Berrevoets, D Jarrett, AJ Chan, M van der Schaar
Neural Information Processing Systems (NeurIPS) track on Datasets and Benchmarks, 2023
12023
Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning
AJ Chan, M van der Schaar
Advances in Neural Information Processing Systems (NeurIPS), 2022
12022
Discovering Preference Optimization Algorithms with and for Large Language Models
C Lu, S Holt, C Fanconi, AJ Chan, J Foerster, M van der Schaar, ...
arXiv preprint arXiv:2406.08414, 2024
2024
Actions Speak Louder than Words: Superficial Fairness Alignment in LLMs
Q Wei, AJ Chan, L Goetz, D Watson, M van der Schaar
ICLR 2024 Workshop on Reliable and Responsible Foundation Models, 2024
2024
Probabilistic Deep Learning
AJ Chan
University College London, 2019
2019
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