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..
Online Facility Location with Predictions
Authors: Shaofeng H.-C. Jiang, Erzhi Liu, You Lyu, Zhihao Gavin Tang, Yubo Zhang
ICLR 2022 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Furthermore, our theoretical analysis is supported by empirical evaluations for the tradeoffs between η and the competitive ratio on various real datasets of different types. |
| Researcher Affiliation | Academia | Shaofeng H.-C. Jiang Peking University Email: EMAIL Erzhi Liu Shanghai Jiao Tong University Email: EMAIL You Lyu Shanghai Jiao Tong University Email: EMAIL Zhihao Gavin Tang Shanghai University of Finance and Economics Email: EMAIL Yubo Zhang Peking University Email: EMAIL |
| Pseudocode | Yes | Algorithm 1 Prediction-augmented Meyerson |
| Open Source Code | No | The paper does not provide a link or explicit statement about the availability of its source code. |
| Open Datasets | Yes | In particular, we consider three Euclidean data sets, a) Twitter (Chan et al.), b) Adult (Dua & Graff, 2017), and c) Non Uni (Cebecauer & Buzna, 2018)... and one graph dataset, US-PG (Rossi & Ahmed, 2015) |
| Dataset Splits | Yes | To evaluate the performance of this simple predictor, we take a random sample of 30% points from the dataset as the training set T, and take the remaining 70% as the test set X. |
| Hardware Specification | Yes | All our experiments are conducted on a laptop with Intel Core i7 CPU and 16GB memory. |
| Software Dependencies | No | The paper mentions general tools but does not specify software dependencies with version numbers. |
| Experiment Setup | Yes | Since the algorithms are randomized, we repeat every run 10 times and take the average cost. |