Alex J. Chan

According to our database, Alex J. Chan authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Discovering Preference Optimization Algorithms with and for Large Language Models.

Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob N. Foerster, Mihaela van der Schaar, Robert Tjarko Lange

CoRR, 2024

Dense Reward for Free in Reinforcement Learning from Human Feedback.

Alex James Chan, Hao Sun, Samuel Holt, Mihaela van der Schaar

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

When is Off-Policy Evaluation Useful? A Data-Centric Perspective.

Hao Sun, Alex J. Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar

CoRR, 2023

Optimising Human-AI Collaboration by Learning Convincing Explanations.

Alex J. Chan, Alihan Hüyük, Mihaela van der Schaar

CoRR, 2023

AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems.

Jeroen Berrevoets, Daniel Jarrett, Alex J. Chan, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning.

Alex J. Chan, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

POETREE: Interpretable Policy Learning with Adaptive Decision Trees.

Alizée Pace, Alex J. Chan, Mihaela van der Schaar

Proceedings of the Tenth International Conference on Learning Representations, 2022

Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies.

Alex J. Chan, Alicia Curth, Mihaela van der Schaar

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation.

Alex J. Chan, Ioana Bica, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Scalable Bayesian Inverse Reinforcement Learning.

Alex James Chan, Mihaela van der Schaar

Proceedings of the 9th International Conference on Learning Representations, 2021

Generative Time-series Modeling with Fourier Flows.

Ahmed M. Alaa, Alex James Chan, Mihaela van der Schaar

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift.

Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the 37th International Conference on Machine Learning, 2020