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    A Hybrid Weighted Nearest Neighbour Classifier for Semi-Supervised Learning

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    Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation

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    Nothing Deceives Like Success: Social Learning and the Illusion of Understanding in Science

    Published in ArXiv cs.MA Recent Papers (2026)
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    Breaking Training Bottlenecks: Effective and Stable Reinforcement Learning for Coding Models

    Published in ArXiv cs.GL Recent Papers (2026)
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    Distributional Learning of Graph Languages Generated by Fixed-Interface Clause Systems

    Published in ArXiv cs.FL Recent Papers (2026)
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    Poisoning Learned Index Structures: Static and Dynamic Adversarial Attacks on ALEX

    Published in ArXiv cs.DB Recent Papers (2026)
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    BoomHQ: Learning to Boost Multiple Hybrid Queries on Vector DBMSs

    Published in ArXiv cs.DB Recent Papers (2026)
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    EPM-RL: Reinforcement Learning for On-Premise Product Mapping in E-Commerce

    Published in ArXiv cs.DB Recent Papers (2026)
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    System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning

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    Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens

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    Augmented Lagrangian Multiplier Network for State-wise Safety in Reinforcement Learning

    Published in ArXiv cs.LG Recent Papers (2026)
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    Negative Data Mining for Contrastive Learning in Dense Retrieval at IKEA.com

    Published in ArXiv cs.IR Recent Papers (2026)
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    Complete Integration of Team Project-based Learning into a Database Syllabus

    Published in ArXiv cs.DB Recent Papers (2026)
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    Learning Coarse-to-Fine Osteoarthritis Representations under Noisy Hierarchical Labels

    Published in ArXiv cs.CV Recent Papers (2026)
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    Unsupervised Machine Learning for Detecting Structural Anomalies in European Regional Statistics

    Published in ArXiv cs.LG Recent Papers (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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    Learning Equivariant Neural-Augmented Object Dynamics From Few Interactions

    Published in ArXiv cs.LG Recent Papers (2026)
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    A Hierarchical Sampling Framework for bounding the Generalization Error of Federated Learning

    Published in ArXiv cs.IT Recent Papers (2026)
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    Multimodal Learning on Low-Quality Data with Conformal Predictive Self-Calibration

    Published in ArXiv cs.CV Recent Papers (2026)
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    Unified Framework of Distributional Regret in Multi-Armed Bandits and Reinforcement Learning

    Published in ArXiv cs.LG Recent Papers (2026)
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