Search Results for author: Ryo Nishida

Found 2 papers, 2 papers with code

Causal Effect Estimation on Hierarchical Spatial Graph Data

1 code implementation • The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2023 • Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi

To address this problem, we propose a spatial intervention neural network (SINet) that leverages the hierarchical structure of spatial graphs to learn a rich representation of the covariates and the treatments and exploits this representation to predict a time series of treatment outcome.

Causal Inference Time Series

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Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference

1 code implementation • 8 Feb 2021 • Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi

In this paper, we consider the problem of estimating the effects of crowd movement guidance from past data.

Causal Inference counterfactual +2

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