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 [1].
Fourier Analysis-based Iterative Combinatorial Auctions
Authors: Jakob Weissteiner, Chris Wendler, Sven Seuken, Ben Lubin, Markus Püschel
IJCAI 2022 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We experimentally show that our hybrid ICA achieves higher efficiency than prior auction designs, leads to a fairer distribution of social welfare, and significantly reduces runtime. |
| Researcher Affiliation | Academia | 1University of Zurich 2ETH Zurich 3Boston University 4 ETH AI Center EMAIL, EMAIL, EMAIL, EMAIL, EMAIL |
| Pseudocode | Yes | Algorithm 1: HYBRID ICA |
| Open Source Code | Yes | Our code is available on Git Hub: https://github.com/ marketdesignresearch/FA-based-ICAs. |
| Open Datasets | Yes | For our experiments, we use the spectrum auction test suite (SATS) [Weiss et al., 2017]. |
| Dataset Splits | No | The paper states that parameters were optimized on a 'training set of CA instances' and results are averaged over a 'test set of CA instances', indicating a split of instances. However, it does not provide specific details on traditional train/validation/test dataset splits (e.g., percentages, sample counts, or specific files) for the data used within each instance for training the ML models, which are trained iteratively on elicited reports. |
| Hardware Specification | Yes | All experiments were conducted on machines with Intel Xeon E5 v4 2.20GHz processors with 24 cores and 128GB RAM or with Intel E5 v2 2.80GHz processors with 20 cores and 128GB RAM. |
| Software Dependencies | Yes | We used SATS version 0.6.4 for our experiments. The implementations of GSVM and LSVM have changed slightly in newer SATS versions. |
| Experiment Setup | Yes | Table 4: Best configuration of HYBRID ICA. R:[32, 32] | N:[10, 10] WHT 30 21 20 29; R:[32, 32] | N:[10, 10, 10] WHT 30 30 10 30; L,R,N:[16, 16] WHT 30 220 0 250 |