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 [1].
Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning
Authors: Wouter M. Koolen, Peter Grünwald, Tim van Erven
NeurIPS 2016 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We prove that these algorithms attain fast rates in their respective settings both in expectation and with high probability. |
| Researcher Affiliation | Academia | Wouter M. Koolen Centrum Wiskunde & Informatica Science Park 123, 1098 XG Amsterdam, the Netherlands EMAIL Peter Grünwald CWI and Leiden University EMAIL Tim van Erven Leiden University Niels Bohrweg 1, 2333 CA Leiden, the Netherlands EMAIL |
| Pseudocode | No | The paper describes algorithms (Squint and Meta Grad) and their properties, but it does not include pseudocode or an algorithm block. |
| Open Source Code | No | The paper does not provide any links to open-source code or state that code is available. |
| Open Datasets | No | The paper discusses theoretical settings involving data and distributions (e.g., "i.i.d. losses drawn from a distribution"), but it does not specify any particular dataset, nor does it provide information about its public availability or access. |
| Dataset Splits | No | The paper does not mention training, validation, or test dataset splits. It focuses on theoretical guarantees. |
| Hardware Specification | No | The paper does not mention any specific hardware specifications used for experiments. |
| Software Dependencies | No | The paper does not specify any software dependencies or version numbers. |
| Experiment Setup | No | The paper does not describe any experimental setup details such as hyperparameters or training configurations, as it is a theoretical work. |