Search Results - (optimization OR utilization)

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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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    Dynamic allocation and optimization strategy of communication network resources driven by reinforcement learning

    Published in Discover AI (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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  10. Cover Image

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

    Published in JMLR (2026)
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  11. Cover Image

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

    Published in JMLR (2026)
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  12. Cover Image

    Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot

    Published in Advanced Intelligent Systems (2026)
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    An Optimized Deep Neural Network Model for Image Classification in Resource-constrained Environments

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  14. Cover Image

    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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  16. Cover Image

    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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    Optimizing Enzyme-Linked Immunosorbent Assay Parameters for Chlamydial Abortion Diagnosis in Sheep

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  19. Cover Image

    Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming

    Published in JMLR (2026)
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  20. Cover Image

    Optimizing Enzyme-Linked Immunosorbent Assay Parameters for Chlamydial Abortion Diagnosis in Sheep

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