Non-Parametric Stochastic Sequential Assignment With Random Arrival Times
Authors: Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa, Prashant Reddy
IJCAI 2021 | Conference PDF | Archive PDF | Plain Text | 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 {danial.dervovic, parisa.hassanzadeh, samuel.a.assefa, prashant.reddy}@jpmorgan.com |
| 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}. |