The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics
Authors: Afonso S Bandeira, Ahmed El Alaoui, Samuel Hopkins, Tselil Schramm, Alexander S Wein, Ilias Zadik
NeurIPS 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Our work is purely theoretical and has no societal impacts. |
| Researcher Affiliation | Academia | Afonso S. Bandeira Department of Mathematics ETH Zürich bandeira@math.ethz.ch Ahmed El Alaoui Department of Statistics and Data Science Cornell University ae333@cornell.edu Samuel B. Hopkins MIT EECS Cambridge, MA samhop@mit.edu Tselil Schramm Department of Statistics Stanford University tselil@stanford.edu Alexander S. Wein Department of Mathematics University of California, Davis aswein@ucdavis.edu Ilias Zadik Department of Mathematics MIT izadik@mit.edu |
| Pseudocode | No | The paper does not contain any pseudocode or algorithm blocks. It focuses on theoretical proofs and mathematical relationships. |
| Open Source Code | No | The paper states 'Our work is purely theoretical and has no societal impacts.' It does not provide any links to open-source code or explicitly state that code for the methodology is available. |
| Open Datasets | No | The paper is theoretical and discusses models and mathematical concepts, not the use of specific datasets for training. It does not mention any publicly available or open datasets used in an experimental context. |
| Dataset Splits | No | The paper is theoretical and does not describe experimental validation on datasets, therefore no training/validation/test splits are provided. |
| Hardware Specification | No | The paper is purely theoretical and does not describe any computational experiments that would require specific hardware. All related checklist items are marked 'N/A'. |
| Software Dependencies | No | The paper is purely theoretical and does not list any software dependencies with specific version numbers. All related checklist items are marked 'N/A'. |
| Experiment Setup | No | The paper is theoretical and does not describe an experimental setup, including hyperparameters or system-level training settings. All related checklist items are marked 'N/A'. |