Analyzing Query Complexity in Rank-Based Zeroth-Order Optimization
Analysis
This research paper explores the query complexities of rank-based zeroth-order optimization algorithms, focusing on smooth functions. It likely provides valuable insights for improving the efficiency of black-box optimization methods, especially in settings where gradient information is unavailable.
Key Takeaways
- •Focuses on zeroth-order optimization, which is useful when gradient information is unavailable.
- •Investigates the query complexity, a key performance metric.
- •Applies to smooth functions, a common setting in optimization.
Reference
“The paper focuses on rank-based zeroth-order algorithms and their query complexities.”