Optimal Auctions for Partially Rational Bidders

Authors: Zihe Wang, Pingzhong Tang

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

Reproducibility Variable Result LLM Response
Research Type Theoretical Our techniques for obtaining these results make use of novel geometrical arguments in optimal mechanism design
Researcher Affiliation Academia Zihe Wang and Pingzhong Tang Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China wangzihe11@mails.tsinghua.edu.cn, kenshin@tsinghua.edu.cn
Pseudocode No The paper does not contain 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 methodology described.
Open Datasets No The paper is theoretical and does not use or provide access information for any publicly available or open datasets for training.
Dataset Splits No The paper is theoretical and does not describe or require dataset splits for training, validation, or testing.
Hardware Specification No The paper is purely theoretical and does not describe any hardware used for experiments.
Software Dependencies No The paper is purely theoretical and does not mention any specific software dependencies or versions.
Experiment Setup No The paper is purely theoretical and does not describe any experimental setup details or hyperparameters.