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..
Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting
Authors: Yudong Chen, Jiaming Xu
ICML 2014 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Our theorems establish the ο¬rst minimax recovery results for the high-dimensional setting, and provide the best known guarantees for polynomial-time algorithms. |
| Researcher Affiliation | Academia | Yudong Chen EMAIL Department of EECS, University of California, Berkeley, Berkeley, CA 94704, USA Jiaming Xu EMAIL Department of ECE, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA |
| Pseudocode | Yes | Algorithm 1 Maximum Likelihood Estimator (p > q) |
| Open Source Code | No | The paper does not provide any statements or links regarding the availability of open-source code for the described methodology. |
| Open Datasets | No | This is a theoretical paper and does not involve empirical studies with datasets, thus no dataset access information is provided. |
| Dataset Splits | No | This is a theoretical paper and does not involve empirical studies with datasets, thus no dataset split information is provided. |
| Hardware Specification | No | This is a theoretical paper and does not report on empirical experiments that would require specific hardware. No hardware specifications are mentioned. |
| Software Dependencies | No | This is a theoretical paper and does not report on empirical experiments that would require specific software dependencies with version numbers. |
| Experiment Setup | No | This is a theoretical paper and does not report on empirical experiments that would involve hyperparameter settings or experimental setup details. |