Julius Von Kügelgen - Dokumente zum Namen

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[ ] On the Fairness of Causal Algorithmic Recourse

arxiv.org

From: Julius von Kügelgen [view email] [v1] Tue, 13 Oct :35:06 UTC (31 KB) [v2] Wed, 14 Oct :48:33 UTC (28 KB)

Complex Interlinkages, Key Objectives and Nexuses Amongst the...

papers.ssrn.com

Background: Global sustainability is underpinned by an enmeshed system of complex socio-economic-ecological interactions. The objectives spelled out by the Unit

Self-Supervised Learning with Data Augmentations Provably Isolates...

proceedings.neurips.cc

Julius von Kügelgen, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, Francesco Locatello ...

[ ] Optimal experimental design via Bayesian optimization:...

arxiv.org

... experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks. Authors:Julius von Kügelgen, ...

[ ] Algorithmic Recourse in Partially and Fully Confounded...

arxiv.org

· Algorithmic Recourse in Partially and Fully Confounded Settings Through Bounding Counterfactual Effects. Authors:Julius von Kügelgen, Nikita ...

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Dokumente zum Namen Julius Von Kügelgen

[ ] On the Fairness of Causal Algorithmic Recourse

Complex Interlinkages, Key Objectives and Nexuses Amongst the...

Self-Supervised Learning with Data Augmentations Provably Isolates...

[ ] Optimal experimental design via Bayesian optimization:...

[ ] Algorithmic Recourse in Partially and Fully Confounded...