2021-03-18-budhathoki21a.md

title	abstract	layout	series	publisher	issn	id	month	tex_title	firstpage	lastpage	page	order	cycles	bibtex_author	author	date	address	container-title	volume	genre	issued	pdf	extras
Why did the distribution change?	We describe a formal approach based on graphical causal models to identify the "root causes" of the change in the probability distribution of variables. After factorizing the joint distribution into conditional distributions of each variable, given its parents (the "causal mechanisms"), we attribute the change to changes of these causal mechanisms. This attribution analysis accounts for the fact that mechanisms often change independently and sometimes only some of them change. Through simulations, we study the performance of our distribution change attribution proposal. We then present a real-world case study identifying the drivers of the difference in the income distribution between men and women.	inproceedings	Proceedings of Machine Learning Research	PMLR	2640-3498	budhathoki21a	0	Why did the distribution change?	1666	1674	1666-1674	1666	false	Budhathoki, Kailash and Janzing, Dominik and Bloebaum, Patrick and Ng, Hoiyi	given family Kailash Budhathoki given family Dominik Janzing given family Patrick Bloebaum given family Hoiyi Ng	2021-03-18		Proceedings of The 24th International Conference on Artificial Intelligence and Statistics	130	inproceedings	date-parts 2021 3 18	http://proceedings.mlr.press/v130/budhathoki21a/budhathoki21a.pdf