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Conference Paper

On the design of consequential ranking algorithms

MPS-Authors
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Schölkopf,  Bernhard
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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http://proceedings.mlr.press/v124/tabibian20a.html
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https://youtu.be/9gNKrg_kFU4
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Citation

Tabibian, B., Gomez, V., De, A., Schölkopf, B., & Gomez Rodriguez, M. (2021). On the design of consequential ranking algorithms. In 36th Conference on Uncertainty in Artificial Intelligence (UAI 2020) (pp. 278-291). Red Hook, NY: Curran Associates, Inc. Retrieved from http://proceedings.mlr.press/v124/tabibian20a.html.


Cite as: https://hdl.handle.net/21.11116/0000-000B-2F03-E
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