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..
Best Response Regression
Authors: Omer Ben-Porat, Moshe Tennenholtz
NeurIPS 2017 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We also test our approach in a high-dimensional setting, and show it significantly defeats classical regression algorithms in the prediction duel. The theoretical analysis is complemented by an experimental study, which illustrates the effectiveness of our approach. |
| Researcher Affiliation | Academia | Omer Ben-Porat Technion Israel Institute of Technology Haifa 32000 Israel EMAIL Moshe Tennenholtz Technion Israel Institute of Technology Haifa 32000 Israel EMAIL |
| Pseudocode | Yes | Algorithm: EMPIRICAL PAYOFF MAXIMIZATION (EPM) |
| Open Source Code | Yes | Code for reproducing the experiments is available at https://github.com/omerbp/Best-Response-Regression |
| Open Datasets | Yes | The MILP algorithm is tested on the Boston housing dataset [5]. |
| Dataset Splits | Yes | The dataset was split into training (80%) and test (20%) sets, and two scenarios were considered: |
| Hardware Specification | No | The paper does not provide specific details about the hardware used to run the experiments (e.g., GPU/CPU models, memory). |
| Software Dependencies | No | We employed the MILP formulation, and used Gurobi software [4] in order to find a response, where the running time of the solver was limited to one minute. The paper mentions Gurobi software but does not specify its version number. |
| Experiment Setup | Yes | We employed the MILP formulation, and used Gurobi software [4] in order to find a response, where the running time of the solver was limited to one minute. |