The Power of Verification for Greedy Mechanism Design
Authors: Dimitris Fotakis, Piotr Krysta, Carmine Ventre
JAIR 2018 | Venue PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We provide a complete characterization of the power of weak verification showing that it is sufficient and necessary for any greedy fixed priority algorithm to become truthful with the use of money or not, depending on the ordering of the bids. Moreover, we show that strong verification is sufficient and necessary to obtain a 2-approximate truthful mechanism with money, based on a known greedy algorithm, for the problem of submodular CAs in finite bidding domains. Our proof is based on an interesting structural analysis of the strongly connected components of the declaration graph. |
| Researcher Affiliation | Academia | Dimitris Fotakis EMAIL National Technical University of Athens, Greece Piotr Krysta EMAIL University of Liverpool, UK Carmine Ventre EMAIL University of Essex, UK |
| Pseudocode | Yes | Algorithm 1: The greedy fixed priority algorithm for single-minded CAs. Algorithm 2: Greedy algorithm |
| Open Source Code | No | The paper does not explicitly state that source code for the described methodology is provided, nor does it include any links to code repositories. |
| Open Datasets | No | The paper primarily deals with theoretical models such as Combinatorial Auctions (CAs) with bidders' valuation functions represented by value oracles and finite bidding domains. It does not mention or use any specific publicly available datasets for empirical evaluation, nor does it provide access information for any data. |
| Dataset Splits | No | The paper is theoretical and does not conduct experiments with datasets. Therefore, it does not provide any information regarding dataset splits. |
| Hardware Specification | No | The paper focuses on theoretical analysis, proofs, and algorithm design. It does not describe any experimental setup or specify hardware used for running experiments. |
| Software Dependencies | No | The paper is theoretical and does not detail any experimental implementation. Consequently, it does not list specific software dependencies with version numbers. |
| Experiment Setup | No | This paper is theoretical in nature, providing proofs and algorithmic characterizations rather than empirical evaluations. As such, it does not describe any experimental setup, hyperparameters, or training configurations. |