Search Results - (optimization OR utilization)

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    In situ localization of citrus exocortis viroid RNA using an optimized RNAscope™ assay

    Published in Journal of Citrus Pathology (2021)
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    Construction of Lightweight S-Boxes Optimized for Quantum Resource Efficiency Using Chaotic Maps

    Published in IEEE Access (2026)
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    Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions

    Published in JMLR (2026)
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    Optimization of Energy Efficiency in Photovoltaic Water Pumping Systems Using Neural Networks

    Published in Energy Science & Engineering (2026)
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    Enhancing CNN Performance for Alzheimer’s Disease Classification Using Genetic Algorithm Optimization

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    Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization

    Published in JMLR (2026)
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    A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization

    Published in JMLR (2026)
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    Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary

    Published in JMLR (2026)
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    Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning

    Published in JMLR (2026)
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    A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds

    Published in JMLR (2026)
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    Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification

    Published in JMLR (2026)
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    Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming

    Published in JMLR (2026)
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  13. Cover Image

    Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions

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  14. Cover Image

    Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization

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    A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization

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    Fisher Markets with Approximately Optimal Bundles and the Need for a PCP Theorem for PPAD

    Published in ArXiv cs.GT Recent Papers (2026)
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    Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary

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    Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning

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    A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds

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    Optimal Communication Rate of Secure Aggregation over Ring Networks with Pairwise Keys

    Published in ArXiv cs.IT Recent Papers (2026)
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