https://openreview.net/forum?id=AJwlILrBOr
Nonconvex Meta-optimization for Deep Learning | OpenReview
Hyperparameter tuning in mathematical optimization is a notoriously difficult problem. Recent tools from online control give rise to a provable methodology for...
meta optimizationdeep learningnonconvexopenreview
https://openreview.net/forum?id=mFDU0fP3EQH
Discovering Evolution Strategies via Meta-Black-Box Optimization | OpenReview
We meta-learn evolution strategies, which flexibly generalize to unseen optimization problems, population sizes and optimization horizons.
evolution strategiesblack boxdiscoveringviameta
https://mail-archive.com/gcc-bugs@gcc.gnu.org/msg905095.html
[Bug tree-optimization/53947] [meta-bug] vectorizer missed-optimizations
bugtreeoptimizationmetavectorizer
https://www.preprints.org/manuscript/202406.1948
Machine Learning Meets Meta-heuristics: Bald Eagle Search Optimization and Red Deer Optimization...
This article investigates the effectiveness of feature extraction and selection techniques for enhancing the performance of classifiers accuracy in Type II...
machine learningmeta heuristicsbald eagle
https://huggingface.co/papers/2505.09666
Paper page - System Prompt Optimization with Meta-Learning
Join the discussion on this paper page
system promptpaperoptimizationmetalearning
https://dergipark.org.tr/en/pub/joindata/article/1509069
Comparison of meta-heuristic algorithms on the size and layout optimization of truss structures -...
Nov 21, 2024 - International Journal of Data Science and Applications | Volume: 7 Issue: 1
https://arxiv.org/abs/2505.03725
[2505.03725] Meta-Optimization and Program Search using Language Models for Task and Motion Planning
Abstract page for arXiv paper 2505.03725: Meta-Optimization and Program Search using Language Models for Task and Motion Planning
https://the-decoder.com/openai-releases-its-meta-prompt-for-prompt-optimization/
OpenAI releases its meta-prompt for prompt optimization
Oct 11, 2024 - OpenAI has released its "meta-prompt," a prompt designed to help users create and improve prompts for LLMs more efficiently. The company says this will save...
openaireleasesmetapromptoptimization
https://arxiv.org/abs/2508.01443
[2508.01443] Tuning LLM-based Code Optimization via Meta-Prompting: An Industrial Perspective
Abstract page for arXiv paper 2508.01443: Tuning LLM-based Code Optimization via Meta-Prompting: An Industrial Perspective
https://www.sintef.no/en/publications/publication/0198cc7972e1-ed9829bb-29a1-4a83-a4f5-6c5ef0d5d0ed/
Optimization of the model predictive control meta-parameters through reinforcement learning - SINTEF
model predictive controlof the
https://www.power-technology.com/data-insights/array-technologies-gets-grant-for-solar-power-unit-orientation-optimization-method-2/
Meta Title: Array Technologies Inc Patent Filing for Solar Power Unit Orientation Optimization
May 6, 2024 - Optimize solar power unit orientation with Array Technologies Inc's patented method. Maximize energy generation efficiency with real-time data analysis and...
array technologies inc