Datasets › Experimental Results for "A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models"
Experimental Results for "A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models"
This package contains the raw data / logs (fetched from WandB) for the experiments of the following publication:
O. Arenz, P. Dahlinger, Z. Ye, M. Volpp, and G. Neumann. A unified perspective on natural gradient variational inference with gaussian mixture models. Transactions on Machine Learning Research, 2023. URL: https://openreview.net/forum?id=tLBjsX4tjs.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
Creative Commons Attribution 4.0 International
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- Experimental Results for "A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models"
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections