New Algorithms for Japanese Residency Matching
Authors: Zhaohong Sun, Taiki Todo, Makoto Yokoo
IJCAI 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | In this section, we empirically evaluate our newly designed algorithms GDA-RH and GDA-RO. and Figure 2: Comparison of three algorithms in terms of doctors welfare |
| Researcher Affiliation | Academia | Zhaohong Sun1 , Taiki Todo2 and Makoto Yokoo2 1UNSW Sydney 2Kyushu University |
| Pseudocode | Yes | Algorithm 1 Generalized Deferred Acceptance with Regions, Algorithm 2 Choice function Chr of region r, Algorithm 3 Choice function Chh of hospital h |
| Open Source Code | No | The paper does not provide an explicit statement or a link to open-source code for the described methodology. |
| Open Datasets | No | The preference profiles of the doctors and the priority profiles of the hospitals and regions are generated by Mallows Model (MM), which is commonly used to generate preference and priority profiles when such information is unavailable [Lu and Boutilier, 2011]. We exploit the Pref Lib library to generate preference and priority profiles [Mattei and Walsh, 2013]. |
| Dataset Splits | No | The paper does not explicitly state training, validation, or test dataset splits. |
| Hardware Specification | No | The paper does not provide any specific hardware details used for running the experiments. |
| Software Dependencies | No | We exploit the Pref Lib library to generate preference and priority profiles [Mattei and Walsh, 2013]. |
| Experiment Setup | Yes | We consider a medium-sized market with |D| = 200 doctors, |H| = 10 hospitals, and |R| = 2 regions. We assume all hospitals have the same capacity and artificial-cap, and all regions have the same number of hospitals and regional quotas. ... The artificial cap is set to |D| / |H| − 1.1 = 22, and the regional quota is set to |D| / |R| − 1.1 = 110 ... a ratio is chosen from three reasonable values: {1.2, 1.5, 2.0}. ... In this experiment, θ takes three values from {0.2, 0.5, 0.8}. |