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..
Stein Variational Gradient Descent as Moment Matching
Authors: Qiang Liu, Dilin Wang
NeurIPS 2018 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Our results provide a theoretical framework for analyzing properties of SVGD with different kernels, shedding insight into optimal kernel choice. Our Results We analyze the ο¬nite sample properties of SVGD. |
| Researcher Affiliation | Academia | Qiang Liu, Dilin Wang Department of Computer Science The University of Texas at Austin Austin, TX 78712 EMAIL |
| Pseudocode | No | The paper describes algorithms and concepts but does not include any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement or link regarding the public availability of source code for the described methodology. |
| Open Datasets | No | The paper is theoretical and does not report on experiments using specific datasets, thus no information on dataset availability is provided. |
| Dataset Splits | No | The paper focuses on theoretical analysis and does not describe empirical experiments with dataset splits. |
| Hardware Specification | No | The paper focuses on theoretical analysis and does not provide details on specific hardware used for experiments. |
| Software Dependencies | No | The paper focuses on theoretical analysis and does not provide details on specific software dependencies with version numbers. |
| Experiment Setup | No | The paper focuses on theoretical analysis and does not describe specific experimental setup details, hyperparameters, or training configurations. |