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..
A Parameterized Theory of PAC Learning
Authors: Cornelius Brand, Robert Ganian, Kirill Simonov
AAAI 2023 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | As our core contribution, we fill this gap by developing a theory of parameterized PAC learning... and develop the machinery required to exclude fixed-parameter learnability. We then showcase the applications of this theory to identify refined boundaries of tractability for CNF and DNF learning as well as for a range of learning problems on graphs. |
| Researcher Affiliation | Academia | Cornelius Brand1, Robert Ganian1, Kirill Simonov2 1 Algorithms and Complexity Group, TU Wien, Austria 2Chair for Algorithm Engineering, Hasso Plattner Institute, Germany EMAIL, EMAIL |
| Pseudocode | No | The paper describes theoretical concepts and proofs but does not include any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not mention providing open-source code for the described methodology. |
| Open Datasets | No | The paper is theoretical and does not involve empirical training on datasets. No concrete access information for a publicly available or open dataset is provided. |
| Dataset Splits | No | The paper is theoretical and does not involve empirical validation. No specific dataset split information is provided. |
| Hardware Specification | No | The paper is theoretical and does not describe any experimental hardware specifications. |
| Software Dependencies | No | The paper is theoretical and does not specify software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe any specific experimental setup details or hyperparameters. |