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  1. Foreword: Implementing Adaptive Learning at Scale

    Subjects: “…— — — — — Distance Education and eLearning…”
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  2. Categorical Semantics of Compositional Reinforcement Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  3. Learning conditional distributions on continuous spaces

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  4. Optimizing Data Collection for Machine Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  5. An Augmentation Overlap Theory of Contrastive Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  6. Geometry and Stability of Supervised Learning Problems

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  7. Reinforcement Learning for Infinite-Dimensional Systems

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  8. Combining Evolution and Learning in Computational Ecosystems

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  9. Learning and decision-making in artificial animals

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  10. Categorical Semantics of Compositional Reinforcement Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  11. Learning conditional distributions on continuous spaces

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  12. Optimizing Data Collection for Machine Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  13. An Augmentation Overlap Theory of Contrastive Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  14. Geometry and Stability of Supervised Learning Problems

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  15. Reinforcement Learning for Infinite-Dimensional Systems

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  16. Categorical Semantics of Compositional Reinforcement Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  17. Learning conditional distributions on continuous spaces

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
    Get full text
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  18. Optimizing Data Collection for Machine Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
    Get full text
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  19. An Augmentation Overlap Theory of Contrastive Learning

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  20. Geometry and Stability of Supervised Learning Problems

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