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  1. Self-Regulated Learning: What It Is, Why It Is Important and Strategies for Implementing It

    Subjects: “…— — — — — Distance Education and eLearning…”
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  2. Probation, Practitioners, and Pedagogy: Lessons Learned from Self-Study

    Subjects: “…— — — — — Distance Education and eLearning…”
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  3. Deep learning and GIS integration for plant disease diagnosis and management

    Published in Discover AI (2026)
    Subjects: “…— — — — — Access Artificial Intelligence and Machine Learning…”
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  4. Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  5. “A Self You Have Not Yet Learned How to Love”

    Published in Archivaria (2025)
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  6. skglm: Improving scikit-learn for Regularized Generalized Linear Models

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  7. Characterizing Dynamical Stability of Stochastic Gradient Descent in Overparameterized Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  8. Actor-Critic learning for mean-field control in continuous time

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  9. Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  10. Score-based Causal Representation Learning: Linear and General Transformations

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  11. GraphNeuralNetworks.jl: Deep Learning on Graphs with Julia

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  12. Learning causal graphs via nonlinear sufficient dimension reduction

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  13. The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  14. The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  15. Deep learning framework for aesthetic and biomechanical optimization of dance movements

    Published in Discover AI (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  16. Fundamental Limits of Membership Inference Attacks on Machine Learning Models

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  17. Generation of Geodesics with Actor-Critic Reinforcement Learning to Predict Midpoints

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  18. Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  19. Comparing the Latent Features of Universal Machine‐Learning Interatomic Potentials

    Published in Advanced Intelligent Systems (2026)
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  20. AGT: Efficient Offline Reinforcement Learning With Advantage‐Guided Transformer

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