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Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 12:02

Explicit and Non-asymptotic Query Complexities of Rank-Based Zeroth-order Algorithm on Stochastic Smooth Functions

Published:Dec 22, 2025 07:18
1 min read
ArXiv

Analysis

The article likely presents a theoretical analysis of a specific optimization algorithm. The focus is on the computational cost (query complexity) of the algorithm when applied to a class of functions with certain properties (stochastic smoothness). The terms "explicit" and "non-asymptotic" suggest a rigorous mathematical treatment, providing concrete bounds on performance rather than just asymptotic behavior.

Key Takeaways

    Reference

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    PermalinkArXiv
    Research#Optimization🔬 ResearchAnalyzed: Jan 10, 2026 10:10

    Analyzing Query Complexity in Rank-Based Zeroth-Order Optimization

    Published:Dec 18, 2025 05:46
    1 min read
    ArXiv

    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.
    Reference

    “The paper focuses on rank-based zeroth-order algorithms and their query complexities.”

    PermalinkArXiv
    Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 06:58

    On-Device Fine-Tuning via Backprop-Free Zeroth-Order Optimization

    Published:Nov 14, 2025 14:46
    1 min read
    ArXiv

    Analysis

    This article likely discusses a novel method for fine-tuning large language models (LLMs) directly on devices, such as smartphones or edge devices. The key innovation seems to be the use of zeroth-order optimization, which avoids the need for backpropagation, a computationally expensive process. This could lead to more efficient and accessible fine-tuning, enabling personalized LLMs on resource-constrained devices. The source being ArXiv suggests this is a research paper, indicating a focus on technical details and potentially novel contributions to the field.
    Reference

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    PermalinkArXiv