Online Classification with Predictions
Authors: Vinod Raman, Ambuj Tewari
NeurIPS 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | This paper has no experiments. The paper focuses on designing algorithms, proving theorems, and deriving bounds. |
| Researcher Affiliation | Academia | Vinod Raman Department of Statistics University of Michigan Ann Arbor, MI 48104 vkraman@umich.edu Ambuj Tewari Department of Statistics University of Michigan Ann Arbor, MI 48104 tewaria@umich.edu |
| Pseudocode | Yes | Algorithm 1 Predictor P, Algorithm 2 Online Learning with a Predictor, Algorithm 3 Online Learner, Algorithm 4 Expert(c), Algorithm 5 Online learner, Algorithm 6 Stream Generator (SG), Algorithm 7 Predictor for Zn, Algorithm 8 Nature s Minimax Offline Strategy, Algorithm 9 Nature s Strategy for Online Classification with Peeks. |
| Open Source Code | No | The paper does not contain any statements or links regarding the release of source code for the described methodology. The NeurIPS Paper Checklist states 'This paper has no experiments.' and 'NA' for code access. |
| Open Datasets | No | The paper is theoretical and does not use or analyze any datasets. The NeurIPS Paper Checklist explicitly states 'This paper has no experiments.' for questions regarding data. |
| Dataset Splits | No | The paper is theoretical and does not involve dataset splits for empirical validation. The NeurIPS Paper Checklist explicitly states 'This paper has no experiments.' for questions regarding data. |
| Hardware Specification | No | The paper is theoretical and does not describe any experiments that would require specific hardware. The NeurIPS Paper Checklist explicitly states 'This paper has no experiments.' for questions regarding compute resources. |
| Software Dependencies | No | The paper is theoretical and does not describe any experiments that would require specific software dependencies with version numbers. The NeurIPS Paper Checklist explicitly states 'This paper has no experiments.' for questions regarding software. |
| Experiment Setup | No | The paper is theoretical and does not describe any experimental setups or hyperparameters. The NeurIPS Paper Checklist explicitly states 'This paper has no experiments.' for questions regarding experimental settings. |