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..

Non-Parametric Stochastic Sequential Assignment With Random Arrival Times

Authors: Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa, Prashant Reddy

IJCAI 2021 | Venue PDF | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental We demonstrate the effectiveness of the algorithm empirically on synthetic data and on public fraud-detection datasets... We empirically validate NPSA on both synthetic data and public fraud data, and rigorously prove its optimality. (Section 4 is titled 'Experiments')
Researcher Affiliation Industry Danial Dervovic1 , Parisa Hassanzadeh1 , Samuel Assefa1 , Prashant Reddy1 1J.P. Morgan AI Research EMAIL
Pseudocode Yes Algorithm 1: NPSA: solution to Seq Alloc-NP
Open Source Code No The paper does not provide a direct link or explicit statement about the availability of the source code for its methodology.
Open Datasets Yes We use two public fraud detection datasets, which we denote cc-fraud [Dal Pozzolo et al., 2015] and ieee-fraud [IEEE-CIS, 2019].
Dataset Splits No The paper mentions training and testing data splits (Mtrain and Mtest) but does not explicitly describe a separate validation set.
Hardware Specification No The paper does not specify the exact hardware (e.g., GPU/CPU models, memory) used for running the experiments.
Software Dependencies Yes Using the Sage Math [The Sage Developers, 2020] interface to Maxima [Maxima, 2014]... Sage Math, the Sage Mathematics Software System (Version 9.2)... Maxima, a Computer Algebra System. Version 5.34.1.
Experiment Setup Yes The time horizon T = 2π and the job arrival rate is λ = 1. (Figure 1 caption)... jobs arrive over time horizon T = 2π according to a homogeneous Poisson process with fixed intensity λ = 500 and have values that are exponentially distributed with mean µ = 200... n {1, . . . , 250}.