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 MAP Inference of Determinantal Point Processes
Authors: Aditya Bhaskara, Amin Karbasi, Silvio Lattanzi, Morteza Zadimoghaddam
NeurIPS 2020 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments demonstrating the efficiency of online methods for MAP inference. We demonstrate how even the simple algorithm ONLINE-LS finds solutions that compete favorably with offline algorithms (that store the entire dataset in memory). |
| Researcher Affiliation | Collaboration | Aditya Bhaskara School of Computing University of Utah EMAIL Amin Karbasi School of Engineering & Applied Science Yale University EMAIL Silvio Lattanzi Google Research Zürich EMAIL Morteza Zadimoghaddam Google Research Cambridge EMAIL |
| Pseudocode | Yes | Algorithm 1 Local Search with Stash (ONLINE-LS) and Algorithm 2 Online Coreset for Additive Error Approximation (ONLINE-DPP) are presented. |
| Open Source Code | No | The paper does not provide any statement or link indicating that the source code for the described methodology is publicly available. |
| Open Datasets | Yes | In our experiments we consider three standard datasets: the Spambase dataset [Dua and Graff, 2017], the Statlog(or Shuttle) dataset [Dua and Graff, 2017] and the Pen-Based Recognition dataset [Dua and Graff, 2017]. |
| Dataset Splits | No | The paper mentions using standard datasets but does not specify the train/validation/test splits, nor does it refer to predefined splits with citations. |
| Hardware Specification | No | All our experiments have been carried out on a standard desktop computer. |
| Software Dependencies | No | The paper does not provide specific software dependencies or version numbers. |
| Experiment Setup | Yes | In Figure 1 we show a comparison of the three algorithms on the Spambase dataset and the Statlog dataset for k = 8 and = 0.1. ... we report how the number of swaps and quality of the solution change as changes (experiments on other datasets are available in supplementary material). |