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..
Robust Market Equilibria with Uncertain Preferences
Authors: Riley Murray, Christian Kroer, Alex Peysakhovich, Parikshit Shah2192-2199
AAAI 2020 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | 5 Experimental Results |
| Researcher Affiliation | Collaboration | 1Facebook Core Data Science, 2Facebook Arti๏ฌcial Intelligence Research 3California Institute of Technology, 4Columbia University |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide concrete access to source code for the methodology described in this paper. |
| Open Datasets | Yes | We start with the Movie Lens 1M dataset where 6000 individuals give ratings to 4000 movies. |
| Dataset Splits | No | The paper does not provide specific dataset split information (exact percentages, sample counts, citations to predefined splits, or detailed splitting methodology) needed to reproduce the data partitioning. |
| Hardware Specification | No | The paper does not provide specific hardware details (exact GPU/CPU models, processor types with speeds, memory amounts, or detailed computer specifications) used for running its experiments. |
| Software Dependencies | Yes | For our implementation we rely on CVXPY 1.0 (Diamond and Boyd 2016; Agrawal et al. 2018) to interface with solvers MOSEK (Mosek 2010; Dahl and Andersen 2019) and ECOS (Domahidi, Chu, and Boyd 2013). |
| Experiment Setup | Yes | Experiments here use the 2-norm; refer to supplementary material for the same experiments under 1-norm uncertainty. For our implementation we rely on CVXPY 1.0 (Diamond and Boyd 2016; Agrawal et al. 2018) to interface with solvers MOSEK (Mosek 2010; Dahl and Andersen 2019) and ECOS (Domahidi, Chu, and Boyd 2013). |