The Generalization Error of Dictionary Learning with Moreau Envelopes
Authors: Alexandros Georgogiannis
ICML 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | This is a theoretical study on the sample complexity of dictionary learning with general type of reconstruction losses. |
| Researcher Affiliation | Academia | 1School of Electrical and Computer Engineering, Technical University of Crete, Greece. Correspondence to: Alexandros Georgogiannis <alexandrosgeorgogiannis@gmail.com>. |
| Pseudocode | No | The paper is theoretical and does not contain any pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access to source code for the methodology described, nor does it state that code is released. |
| Open Datasets | No | The paper is theoretical and does not conduct experiments, therefore it does not use or provide access information for any specific dataset. |
| Dataset Splits | No | The paper is theoretical and does not conduct experiments, thus no specific dataset split information for training, validation, or testing is provided. |
| Hardware Specification | No | The paper is theoretical and does not report on experiments, so no hardware specifications for running experiments are mentioned. |
| Software Dependencies | No | The paper is theoretical and does not describe experiments, therefore no specific software dependencies with version numbers are mentioned. |
| Experiment Setup | No | The paper is theoretical and does not describe any experimental setup details, hyperparameters, or training configurations. |