Papers

A Distributional Optimisation Perspective on Combining Models in Deep Learning #

Wang C, Lin Y, Shen Z, Fisher MA, Oates CJ. A Distributional Optimisation Perspective on Combining Models in Deep Learning. arXiv preprint arXiv:2609.24328. [arXiv]

When Does Trimming Help Conformal Prediction? A Retained-Law Diagnostic under Calibration Contamination #

Wang, C. (2026). When Does Trimming Help Conformal Prediction? A Retained-Law Diagnostic under Calibration Contamination. Advances in Neural Information Processing Systems (NeurIPS 2026). [arXiv]

Harnessing the Power of Reinforcement Learning for Adaptive MCMC #

Wang, C., Fisher, M. A., Kanagawa, H., Chen, W., and Oates, C. J. (2025). Harnessing the Power of Reinforcement Learning for Adaptive MCMC. Artificial Intelligence and Statistics (AISTATS 2026). [arXiv]

Reinforcement Learning for Adaptive MCMC #

Wang C, Chen W, Kanagawa H, Oates CJ. Reinforcement Learning for Adaptive MCMC. Artificial Intelligence and Statistics (AISTATS 2025). [arXiv]

Stein Π-Importance Sampling #

Wang C, Chen WY, Kanagawa H, Oates CJ. Stein Π-Importance Sampling. Advances in Neural Information Processing Systems (NeurIPS 2023). [arXiv]

Selected for spotlight presentation.