Group-wise oracle-efficient algorithms for online multi-group learning
Authors: Samuel Deng, Jingwen Liu, Daniel J. Hsu
NeurIPS 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | This is a theory paper, where the main contributions are towards novel algorithmic design principles for a learning-theoretic model. |
| Researcher Affiliation | Academia | Samuel Deng Department of Computer Science Columbia University samdeng@cs.columbia.edu Daniel Hsu Department of Computer Science Columbia University djhsu@cs.columbia.edu Jingwen Liu Department of Computer Science Columbia University jingwenliu@cs.columbia.edu |
| Pseudocode | Yes | Algorithm 1: Algorithm for Group-wise Oracle Efficiency (for smoothed online learning) |
| Open Source Code | No | The paper does not include any explicit statement about releasing its own source code, nor does it provide a link to a code repository. As stated in the NeurIPS checklist, this is a theory paper. |
| Open Datasets | No | The paper mentions 'n i.i.d. training samples' in a theoretical context, but does not provide any concrete access information, citations, or links to a publicly available dataset. As stated in the NeurIPS checklist, this is a theory paper and does not involve empirical studies with specific datasets. |
| Dataset Splits | No | The paper is theoretical and does not describe any experimental procedures or dataset splits. No specific details about validation splits are provided. |
| Hardware Specification | No | The paper is theoretical and does not provide any specific hardware details used for running experiments. |
| Software Dependencies | No | The paper is theoretical and does not list specific software dependencies with version numbers required for replicating experiments. |
| Experiment Setup | No | The paper is theoretical and does not provide concrete hyperparameter values, training configurations, or system-level settings for an experimental setup. |