paper-conference

Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
Constraint-based causal discovery methods leverage conditional independence tests to infer causal relationships in a wide variety of …
Siyuan Guo, Viktor Tóth, Bernhard Schölkopf, Ferenc Huszár
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Dataflow graphs as complete causal graphs
Component-based development is one of the core principles behind modern software engineering practices. Understanding of causal …
Andrei Palayes, Siyuan Guo, Bernhard Schölkopf, Neil Lawrence
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On the Interventional Kullback-Leibler Divergence
Modern machine learning approaches excel in static settings where a large amount of iid training data are available for a given task. …
Jonas Wildberger, Siyuan Guo, Bernhard Schölkopf
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Pragmatic Fairness: Optimizing Policies with Outcome Disparity Control
We introduce a causal framework for designing optimal policies that satisfy fairness constraints. We take a pragmatic approach asking …
Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva
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Teams frightened of failure fail more: modelling reward sensitivity in teamwork
According to Gray’s Reinforcement Sensitivity Theory (RST), individuals have differing sensitivities to rewards and punishments, which …
Siyuan Guo, Soo Ling Lim, Peter J Bentley
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