Strategic Classification in the Dark
Authors: Ganesh Ghalme, Vineet Nair, Itay Eilat, Inbal Talgam-Cohen, Nir Rosenfeld
ICML 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We complement our theoretical results with experiments on synthetic data as well as on a large dataset of loan requests. |
| Researcher Affiliation | Academia | Ganesh Ghalme * 1 Vineet Nair * 1 Itay Eilat 1 Inbal Talgam-Cohen 1 Nir Rosenfeld 1 *Equal contribution 1Technion Israel Institute of Technology. Correspondence to: Ganesh Ghalme <ganeshg@campus.technion.ac.il>, Vineet Nair <vineet@cs.technion.ac.il>. |
| Pseudocode | No | The paper describes algorithms verbally and mathematically, but no structured pseudocode or algorithm blocks are provided. |
| Open Source Code | Yes | Code is publicly available at https://github.com/ staretgicclfdark/strategic_rep. |
| Open Datasets | Yes | We now turn to studying the Prosper loans dataset. ... The data includes n = 20, 222 examples, which we partition 70 15 15 into three sets: a training set T for Jury, a held-out test-set S, and a pool of samples from which we sample points for each TC(x), x S. |
| Dataset Splits | Yes | The data includes n = 20, 222 examples, which we partition 70 15 15 into three sets: a training set T for Jury, a held-out test-set S, and a pool of samples from which we sample points for each TC(x), x S. |
| Hardware Specification | No | The paper does not provide specific details about the hardware used for running the experiments. |
| Software Dependencies | No | The paper mentions using 'SVM' and the 'algorithm of Hardt et al. (2016)' but does not list specific software dependencies with version numbers (e.g., Python, PyTorch, scikit-learn versions). |
| Experiment Setup | No | The paper describes the general experimental setting and the models used, but it does not provide specific hyperparameters or system-level training settings like learning rates, batch sizes, or number of epochs. |