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..
An Improved Algorithm for Online Min-Sum Set Cover
Authors: Marcin Bienkowski, Marcin Mucha
AAAI 2023 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We construct a computationally efficient randomized algorithm whose competitive ratio (ALG-to-OPT cost ratio) is O(r2) and prove the existence of a deterministic O(r4)-competitive algorithm. |
| Researcher Affiliation | Academia | Marcin Bienkowski,1 Marcin Mucha 2 1 University of Wroclaw 2 University of Warsaw EMAIL, EMAIL |
| Pseudocode | Yes | Routine 1: FETCH(z), where z is any element and Algorithm 2: LAZY-MOVE-ALL-TO-FRONT |
| Open Source Code | No | The paper does not provide any statements or links regarding the public availability of its source code. |
| Open Datasets | No | The paper is theoretical and does not involve experimental evaluation on datasets. Therefore, it does not provide access information for a dataset. |
| Dataset Splits | No | The paper is theoretical and does not involve experimental evaluation on datasets, thus no dataset split information is provided. |
| Hardware Specification | No | The paper is theoretical and does not conduct experiments, so no hardware specifications are mentioned. |
| Software Dependencies | No | The paper is theoretical and does not conduct experiments, so no software dependencies are mentioned. |
| Experiment Setup | No | The paper is theoretical and does not conduct experiments, so no experimental setup details are provided. |