Publications

Siyuan Guo, Viktor Tóth, Bernhard Schölkopf, Ferenc Huszár (2023). Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data. In Advances in Neural Information Processing Systems (NeurIPS), 2023.

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Siyuan Guo, Jonas Wildberger, Bernhard Schölkopf (2023). Out-of-Variable Generalization for Discriminative Models. arxiv preprint 2304.07896.

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Andrei Palayes, Siyuan Guo, Bernhard Schölkopf, Neil Lawrence (2023). Dataflow graphs as complete causal graphs. In IEEE/ACM 2nd International Conference on AI Engineering–Software Engineering for AI (CAIN), 2023.

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Jonas Wildberger, Siyuan Guo, Bernhard Schölkopf (2023). On the Interventional Kullback-Leibler Divergence. In 2nd Conference on Causal Learning and Reasoning (CLeaR), 2023.

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Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva (2022). Pragmatic Fairness: Optimizing Policies with Outcome Disparity Control. In NeurIPS 2022 Workshop on Algorithmic Fairness through the Lens of Causality and Privacy.

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Siyuan Guo, Soo Ling Lim, Peter J Bentley (0001). Teams frightened of failure fail more: modelling reward sensitivity in teamwork. In IEEE Symposium Series on Computational Intelligence (SSCI), 2020.

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