Avoiding Discrimination through Causal Reasoning
Authors: Niki Kilbertus, Mateo Rojas Carulla, Giambattista Parascandolo, Moritz Hardt, Dominik Janzing, Bernhard Schölkopf
NeurIPS 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Finally, we put forward natural causal non-discrimination criteria and develop algorithms that satisfy them. Our framework is limited by the assumption that we can construct a valid causal graph. The removal of proxy discrimination moreover depends on the functional form of the causal dependencies. We have focused on the conceptual and theoretical analysis, and experimental validations are beyond the scope of the present work. |
| Researcher Affiliation | Academia | Niki Kilbertus nkilbertus@tue.mpg.de Mateo Rojas-Carulla mrojas@tue.mpg.de Giambattista Parascandolo gparascandolo@tue.mpg.de Moritz Hardt hardt@berkeley.edu Dominik Janzing janzing@tue.mpg.de Bernhard Sch olkopf bs@tue.mpg.de Max Planck Institute for Intelligent Systems University of Cambridge Max Planck ETH Center for Learning Systems University of California, Berkeley |
| Pseudocode | No | The paper describes procedures in numbered steps within the text, but it does not present them as formal pseudocode or in a clearly labeled algorithm block. |
| Open Source Code | No | The paper does not provide any statement or link regarding the availability of open-source code for the described methodology. |
| Open Datasets | No | The paper is theoretical and focuses on conceptual and theoretical analysis; it does not report on experiments using datasets, thus no dataset availability information is provided. |
| Dataset Splits | No | The paper is theoretical and does not conduct empirical experiments; therefore, it does not specify dataset splits for training, validation, or testing. |
| Hardware Specification | No | The paper states that 'experimental validations are beyond the scope of the present work', thus no hardware specifications are mentioned. |
| Software Dependencies | No | The paper focuses on conceptual and theoretical analysis; it does not describe experimental implementations or list specific software dependencies with version numbers. |
| Experiment Setup | No | The paper states that 'experimental validations are beyond the scope of the present work', thus no experimental setup details like hyperparameters or training settings are provided. |