Causal vs. Anticausal merging of predictors
Authors: Sergio Garrido Mejia, Patrick Blöbaum, Bernhard Schölkopf, Dominik Janzing
NeurIPS 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Most of the research on the merging of predictors focuses on finding a meta-predictor that uses the given models and best fits to the data [41], whereas the focus of the present article is understanding the implications of causal assumptions in the merging of experts instead of aiming for models with best performance. ... The paper does not contain any empirical results. |
| Researcher Affiliation | Collaboration | Sergio Hernan Garrido Mejia Max Planck Institute for Intelligent Systems Amazon Tübingen, Germany... Patrick Blöbaum Amazon Tübingen, Germany... Bernhard Schölkopf Max Planck Institute for Intelligent Systems Tübingen, Germany... Dominik Janzing Amazon Tübingen, Germany |
| Pseudocode | No | The paper describes methods mathematically and textually but does not include any clearly labeled pseudocode or algorithm blocks. |
| Open Source Code | No | The NeurIPS Paper Checklist states 'The paper does not include any data or code, besides a very small toy example.' under 'Open access to data and code'. |
| Open Datasets | No | The NeurIPS Paper Checklist states 'The paper does not include any empirical results.' under 'Experimental Result Reproducibility'. The paper mentions 'synthetic data' for an illustrative figure, but no specific dataset or access information for training data is provided. |
| Dataset Splits | No | The NeurIPS Paper Checklist states 'The paper does not include any empirical results.' and 'The paper does not include any data or code, besides a very small toy example.' No information on training, validation, or test splits is provided. |
| Hardware Specification | No | The NeurIPS Paper Checklist states 'The paper does not include any empirical results.' and 'The paper does not include experiments.' No specific hardware details are provided. |
| Software Dependencies | No | The NeurIPS Paper Checklist states 'The paper does not include experiments.' No specific software dependencies with version numbers are mentioned for any experimental setup. |
| Experiment Setup | No | The NeurIPS Paper Checklist states 'The paper does not include experiments.' No specific experimental setup details, such as hyperparameters or training configurations, are provided. |