Recent Publications

Here is a selected list of recent publications.

For all my publications, see here: https://scholar.google.co.uk/citations?user=H3j_zQ4AAAAJ

(2022). CITRIS: Causal Identifiability from Temporal Intervened Sequences.

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(2022). Intervention Design for Causal Representation Learning. UAI 2022 Workshop on Causal Representation Learning.

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(2022). Factored Adaptation for Non-Stationary Reinforcement Learning. Advances in Neural Information Processing Systems.

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(2022). AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning. International Conference on Learning Representations.

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(2021). Verifiably safe exploration for end-to-end reinforcement learning. Proceedings of the 24th International Conference on Hybrid Systems: Computation and Control.

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(2020). Joint Causal Inference from Multiple Contexts. J. Mach. Learn. Res..

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(2020). Active Structure Learning of Causal DAGs via Directed Clique Trees. Advances in Neural Information Processing Systems.

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(2019). Sample Efficient Active Learning of Causal Trees. Advances in Neural Information Processing Systems.

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(2018). Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions. Advances in Neural Information Processing Systems.

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