On the Consistency of AUC Pairwise Optimization

Authors: Wei Gao, Zhi-Hua Zhou

IJCAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical This work presents a theoretical study on the consistency of AUC optimization based on minimizing pairwise surrogate losses.
Researcher Affiliation Academia Wei Gao and Zhi-Hua Zhou National Key Laboratory for Novel Software Technology, Nanjing University Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing 210023, China {gaow, zhouzh}@lamda.nju.edu.cn
Pseudocode No The paper does not contain any structured pseudocode or algorithm blocks.
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 does not conduct experiments on specific datasets, thus no publicly available dataset is mentioned for training.
Dataset Splits No The paper is theoretical and does not specify training, validation, or test dataset splits.
Hardware Specification No The paper is theoretical and does not mention any specific hardware used.
Software Dependencies No The paper is theoretical and does not mention any specific software dependencies with version numbers.
Experiment Setup No The paper is theoretical and does not describe any experimental setup or hyperparameters.