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Alex J. Chan
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 18
Top Topics
Unlabelled Data
Allocation Policies
Decision Trees
Inverse Reinforcement Learning
Top Venues
CoRR
NeurIPS
ICML
ICLR
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Publications
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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)