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..
Characterization of Incentive Compatibility of an Ex-ante Constrained Player
Authors: Bonan Ni, Pingzhong Tang5156-5163
AAAI 2022 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Under very mild conditions on the mechanism environments, we give a full characterization of IC via the taxation principle and show, perhaps surprisingly, that such IC mechanisms are fully characterized by the so-called auto-bidding mechanisms, which are pervasively ο¬elded in the online advertising industry. The paper includes multiple theorems (Theorem 1, Theorem 2, Theorem 3) and lemmas (Lemma 1, Lemma 2, Lemma 3, Lemma 4) with detailed proofs. |
| Researcher Affiliation | Academia | Bonan Ni, Pingzhong Tang Institute for Interdisciplinary Information Sciences Tsinghua University EMAIL, EMAIL |
| Pseudocode | No | The paper does not contain any pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | No | The paper does not provide any statements about the availability of open-source code for the methodology described. |
| Open Datasets | No | The paper is theoretical and does not describe or use any datasets for training, validation, or testing. |
| Dataset Splits | No | The paper is theoretical and does not describe experimental validation, including training, validation, or test dataset splits. |
| Hardware Specification | No | The paper is theoretical and does not describe any experiments or the hardware used to run them. |
| Software Dependencies | No | The paper is theoretical and does not describe any specific software dependencies with version numbers for experimental setup. |
| Experiment Setup | No | The paper is theoretical and does not describe any experimental setup details, hyperparameters, or training configurations. |