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New framework optimizes black-box functions with tunable query costs

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a new framework for zeroth-order optimization, which is used when gradients are unavailable and objective evaluations are computationally expensive. This framework considers a tunable oracle fidelity, where higher accuracy queries increase computational cost. The study analyzes the trade-off between query accuracy and cost to determine optimal algorithmic parameters and provides recommendations for practical fidelity and batching strategies. AI

IMPACT Provides a unified methodology to translate convergence guarantees into practical fidelity and batching recommendations for expensive simulations.

RANK_REASON This is a research paper published on arXiv detailing a new optimization framework.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New framework optimizes black-box functions with tunable query costs

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This is a research paper published on arXiv detailing a new optimization framework.
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Alexandra Suvorikova, Igor Pavlov, Artem Vasin, Georgii Bychkov, Anastasia Antsiferova, Darina Dvinskikh, Alexander Gasnikov ·

    Wall-Clock Complexity for Zeroth-Order Optimization with Tunable Oracle Fidelity

    arXiv:2605.31346v1 Announce Type: cross Abstract: Zeroth-order (black-box) optimization is applied when gradients are unavailable and objective evaluations rely on expensive simulations. In many such applications, the oracle fidelity is tunable: higher-accuracy queries reduce noi…

  2. arXiv cs.LG TIER_1 English(EN) · Alexander Gasnikov ·

    Wall-Clock Complexity for Zeroth-Order Optimization with Tunable Oracle Fidelity

    Zeroth-order (black-box) optimization is applied when gradients are unavailable and objective evaluations rely on expensive simulations. In many such applications, the oracle fidelity is tunable: higher-accuracy queries reduce noise but incur higher computational costs. To captur…

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