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On the Fairness of Causal Algorithmic Recourse
While many recent works have studied the problem of algorithmic fairness...
10/13/2020 ∙ by Julius von Kugelgen, et al. ∙
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Kernel Two-Sample and Independence Tests for Non-Stationary Random Processes
Two-sample and independence tests with the kernel-based MMD and HSIC hav...
10/01/2020 ∙ by Felix Laumann, et al. ∙
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Algorithmic recourse under imperfect causal knowledge: a probabilistic approach
Recent work has discussed the limitations of counterfactual explanations...
06/11/2020 ∙ by Amir-Hossein Karimi, et al. ∙
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Simpson's paradox in Covid-19 case fatality rates: a mediation analysis of age-related causal effects
We point out an example of Simpson's paradox in COVID-19 case fatality r...
05/14/2020 ∙ by Julius von Kugelgen, et al. ∙
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Towards causal generative scene models via competition of experts
Learning how to model complex scenes in a modular way with recombinable ...
04/27/2020 ∙ by Julius von Kugelgen, et al. ∙
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Non-linear interlinkages and key objectives amongst the Paris Agreement and the Sustainable Development Goals
The United Nations' ambitions to combat climate change and prosper human...
04/16/2020 ∙ by Felix Laumann, et al. ∙
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Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks
We study the problem of causal discovery through targeted interventions....
10/09/2019 ∙ by Julius von Kugelgen, et al. ∙
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Semi-Supervised Learning, Causality and the Conditional Cluster Assumption
While the success of semi-supervised learning (SSL) is still not fully u...
05/28/2019 ∙ by Julius von Kugelgen, et al. ∙
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Semi-Generative Modelling: Domain Adaptation with Cause and Effect Features
This paper presents a novel, causally-inspired approach to domain adapta...
07/20/2018 ∙ by Julius von Kugelgen, et al. ∙
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