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    Efficient Methods for Non-stationary Online Learning

    Published in JMLR (2026)
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    Efficient Methods for Non-stationary Online Learning

    Published in JMLR (2026)
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    Efficient Methods for Non-stationary Online Learning

    Published in JMLR (2026)
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    Efficient Methods for Non-stationary Online Learning

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    Memory-Efficient Continual Learning with CLIP Models

    Published in ArXiv cs.LG Recent Papers (2026)
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    AGT: Efficient Offline Reinforcement Learning With Advantage‐Guided Transformer

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    Instability, Computational Efficiency and Statistical Accuracy

    Published in JMLR (2026)
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    Instability, Computational Efficiency and Statistical Accuracy

    Published in JMLR (2026)
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    Instability, Computational Efficiency and Statistical Accuracy

    Published in JMLR (2026)
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    ATC-FL: Adaptive Thompson Sampling for Efficient Clustering in Federated Learning

    Published in IEEE Access (2026)
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    Federated Reinforcement Learning for Efficient Mobile Crowdsensing under Incomplete Information

    Published in ArXiv cs.LG Recent Papers (2026)
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    Federated Learning With Dynamic Pruning for Efficient Model Aggregation in Heterogeneous Environments

    Published in IEEE Access (2026)
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    Efficiently Escaping Saddle Points in Bilevel Optimization

    Published in JMLR (2026)
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    Efficiently Escaping Saddle Points in Bilevel Optimization

    Published in JMLR (2026)
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    Efficiently Escaping Saddle Points in Bilevel Optimization

    Published in JMLR (2026)
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    ASCENT: an active transfer learning paradigm for efficient drug-target interaction prediction

    Published in Science China Life Sciences (2026)
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    FoR-Net: Learning to Focus on Hard Regions for Efficient Semantic Segmentation

    Published in ArXiv cs.CV Recent Papers (2026)
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    Learning More from Less: Exploiting Counterfactuals for Data-Efficient Chart Understanding

    Published in ArXiv cs.CL Recent Papers (2026)
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    IGRL: Imitation-Guided Reinforcement Learning for Sample-Efficient and Stable Robotic Control

    Published in IEEE Access (2026)
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    Energy-Efficient Federated Learning Scheduler for VM Allocation in Edge-Cloud Continuum

    Published in IEEE Access (2026)
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