Info Intervention and its Causal Calculus

Heyang Gong, ke zhu
Proceedings of the First Conference on Causal Learning and Reasoning, PMLR 177:302-317, 2022.

Abstract

The potential outcome framework and structural causal model are two main frameworks for causal modeling, and there are efforts to combine the merits of each framework, such single world intervention graph (SWIG) and its potential outcome calculus. In this paper, we propose the info intervention inspired by understanding as information transfer, and the corresponding causal calculus. On one hand, We explain its connection with do calculus; On the other hand, our info calculus has the same convenience of checking conditional independence as SWIG , and moreover owns a operator σ(·) for formalizing causal queries.

Cite this Paper

BibTeX
@InProceedings{pmlr-v177-gong22a, title = {Info Intervention and its Causal Calculus}, author = {Gong, Heyang and zhu, ke}, booktitle = {Proceedings of the First Conference on Causal Learning and Reasoning}, pages = {302--317}, year = {2022}, editor = {Schölkopf, Bernhard and Uhler, Caroline and Zhang, Kun}, volume = {177}, series = {Proceedings of Machine Learning Research}, month = {11--13 Apr}, publisher = {PMLR}, pdf = {https://proceedings.mlr.press/v177/gong22a/gong22a.pdf}, url = {https://proceedings.mlr.press/v177/gong22a.html}, abstract = {The potential outcome framework and structural causal model are two main frameworks for causal modeling, and there are efforts to combine the merits of each framework, such single world intervention graph (SWIG) and its potential outcome calculus. In this paper, we propose the info intervention inspired by understanding as information transfer, and the corresponding causal calculus. On one hand, We explain its connection with do calculus; On the other hand, our info calculus has the same convenience of checking conditional independence as SWIG , and moreover owns a operator σ(·) for formalizing causal queries.} }
Endnote
%0 Conference Paper %T Info Intervention and its Causal Calculus %A Heyang Gong %A ke zhu %B Proceedings of the First Conference on Causal Learning and Reasoning %C Proceedings of Machine Learning Research %D 2022 %E Bernhard Schölkopf %E Caroline Uhler %E Kun Zhang %F pmlr-v177-gong22a %I PMLR %P 302--317 %U https://proceedings.mlr.press/v177/gong22a.html %V 177 %X The potential outcome framework and structural causal model are two main frameworks for causal modeling, and there are efforts to combine the merits of each framework, such single world intervention graph (SWIG) and its potential outcome calculus. In this paper, we propose the info intervention inspired by understanding as information transfer, and the corresponding causal calculus. On one hand, We explain its connection with do calculus; On the other hand, our info calculus has the same convenience of checking conditional independence as SWIG , and moreover owns a operator σ(·) for formalizing causal queries.
APA
Gong, H. & zhu, k.. (2022). Info Intervention and its Causal Calculus. Proceedings of the First Conference on Causal Learning and Reasoning, in Proceedings of Machine Learning Research 177:302-317 Available from https://proceedings.mlr.press/v177/gong22a.html.

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