Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Counterfactual Explanations for Optimization-Based Decisions in the Context of the GDPR
Authors: Anton Korikov, Alexander Shleyfman, J. Christopher Beck
IJCAI 2021 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We present theoretical results for the ψ : xj m0 case. The proof can be modified to show that Theorem 2 holds for the case of ψ : xj m0 as well. |
| Researcher Affiliation | Academia | Anton Korikov , Alexander Shleyfman and J. Christopher Beck Department of Mechanical & Industrial Engineering, University of Toronto, Toronto, Canada EMAIL, EMAIL |
| Pseudocode | No | The paper contains theoretical results, theorems, and proofs but no structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access to source code for the methodology described. |
| Open Datasets | No | The paper is theoretical and does not involve empirical studies with datasets, therefore no training dataset availability information is provided. |
| Dataset Splits | No | The paper is theoretical and does not involve empirical studies with datasets; therefore, no validation dataset split information is provided. |
| Hardware Specification | No | The paper is theoretical and does not describe experimental procedures that would involve specific hardware; no hardware specifications are mentioned. |
| Software Dependencies | No | The paper focuses on theoretical mathematical formulations and does not mention specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe experiments, thus no experimental setup details such as hyperparameters or training configurations are provided. |