Alex J. Chan - RankMe

22 papers A* 6Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LM2: Large Memory Models. CoRR Jikun Kang, Wenqi Wu, Filippos Christianos, Alex J. Chan, Fraser Greenlee, George Thomas, Marvin Purtorab, Andy Toulis
2025	J	`jnl`	WebGames: Challenging General-Purpose Web-Browsing AI Agents. CoRR George Thomas, Alex J. Chan, Jikun Kang, Wenqi Wu, Filippos Christianos, Fraser Greenlee, Andy Toulis, Marvin Purtorab
2024	J	`jnl`	Dense Reward for Free in Reinforcement Learning from Human Feedback. CoRR Alex J. Chan, Hao Sun, Samuel Holt, Mihaela van der Schaar
2024	A*	`conf`	Discovering Preference Optimization Algorithms with and for Large Language Models. NeurIPS Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob N. Foerster, Mihaela van der Schaar, Robert T. Lange
2024	J	`jnl`	Discovering Preference Optimization Algorithms with and for Large Language Models. CoRR Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob N. Foerster, Mihaela van der Schaar, Robert Tjarko Lange
2023	A*	`conf`	AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems. NeurIPS Jeroen Berrevoets, Daniel Jarrett, Alex J. Chan, Mihaela van der Schaar
2023	J	`jnl`	Harmonizing Global Voices: Culturally-Aware Models for Enhanced Content Moderation. CoRR Alex J. Chan, José Luis Redondo García, Fabrizio Silvestri, Colm O'Donnel, Konstantina Palla
2023	J	`jnl`	How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions. CoRR Lorenzo Pacchiardi, Alex J. Chan, Sören Mindermann, Ilan Moscovitz, Alexa Y. Pan, Yarin Gal, Owain Evans, Jan Brauner
2023	J	`jnl`	Optimising Human-AI Collaboration by Learning Convincing Explanations. CoRR Alex J. Chan, Alihan Hüyük, Mihaela van der Schaar
2023	J	`jnl`	When is Off-Policy Evaluation Useful? A Data-Centric Perspective. CoRR Hao Sun, Alex J. Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar
2022	A*	`conf`	Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies. ICLR Alex J. Chan, Alicia Curth, Mihaela van der Schaar
2022	J	`jnl`	Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies. CoRR Alex J. Chan, Alicia Curth, Mihaela van der Schaar
2022	A*	`conf`	POETREE: Interpretable Policy Learning with Adaptive Decision Trees. ICLR Alizée Pace, Alex J. Chan, Mihaela van der Schaar
2022	J	`jnl`	POETREE: Interpretable Policy Learning with Adaptive Decision Trees. CoRR Alizée Pace, Alex J. Chan, Mihaela van der Schaar
2022	J	`jnl`	Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes. CoRR Tennison Liu, Alex J. Chan, Boris van Breugel, Mihaela van der Schaar
2022	A*	`conf`	Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning. NeurIPS Alex J. Chan, Mihaela van der Schaar
2022	J	`jnl`	Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning. CoRR Alex J. Chan, Mihaela van der Schaar
2021	J	`jnl`	Scalable Bayesian Inverse Reinforcement Learning. CoRR Alex J. Chan, Mihaela van der Schaar
2021	—	`conf`	The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation. NeurIPS Datasets and Benchmarks Alex J. Chan, Ioana Bica, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
2021	J	`jnl`	The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation. CoRR Alex J. Chan, Ioana Bica, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
2020	A*	`conf`	Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. ICML Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar
2020	J	`jnl`	Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. CoRR Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar