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  1. Error Analysis for Deep ReLU Feedforward Density-Ratio Estimation with Bregman Divergence

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  2. A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design

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  3. UQLM: A Python Package for Uncertainty Quantification in Large Language Models

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  4. Nonlinear function-on-function regression by RKHS

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  5. Nonlocal Techniques for the Analysis of Deep ReLU Neural Network Approximations

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  6. A Data-Augmented Contrastive Learning Approach to Nonparametric Density Estimation

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  7. Guaranteed Nonconvex Low-Rank Tensor Estimation via Scaled Gradient Descent

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  8. skwdro: a library for Wasserstein distributionally robust machine learning

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  9. Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation

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  10. Stochastic Gradient Methods: Bias, Stability and Generalization

    Subjects: “…Computer Science & Information Science…”
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  11. Classification Under Local Differential Privacy with Model Reversal and Model Averaging

    Subjects: “…Computer Science & Information Science…”
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  12. Identifying Weight-Variant Latent Causal Models

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  13. Efficient frequent directions algorithms for approximate decomposition of matrices and higher-order tensors

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  14. Online Detection of Changes in Moment--Based Projections: When to Retrain Deep Learners or Update Portfolios?

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  15. The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks

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  16. Resilient Multimodal Freight Planning With Strategic Helicopter Deployment Under Infrastructure Disruptions

    Published in IEEE Access (2026)
    Subjects: “…Computer Science & Information Science…”
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  17. Predicting Thyroid Dysfunction Using Classical Machine Learning With Rigorous Statistical Evaluation

    Published in IEEE Access (2026)
    Subjects: “…Computer Science & Information Science…”
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  18. Classical and Sliding Mode Controllers Applied to the Reaction Wheel Inverted Pendulum

    Published in IEEE Access (2026)
    Subjects: “…Computer Science & Information Science…”
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  19. Multi-Level Online Group Pruning for Deep Semantic Segmentation: Balancing Efficiency and Class Fairness

    Published in IEEE Access (2026)
    Subjects: “…Computer Science & Information Science…”
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  20. Metaheuristic-Driven Hyperparameter Optimization for Deep Reinforcement Learning-Based Interference-Aware Beamforming in mmWave MIMO Systems

    Published in IEEE Access (2026)
    Subjects: “…Computer Science & Information Science…”
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