Search Results - "Machine Learning"

  1. Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  2. Lexicographic Lipschitz Bandits: New Algorithms and a Lower Bound

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  3. On the Natural Gradient of the Evidence Lower Bound

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

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  5. Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  6. Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  7. A Hybrid Weighted Nearest Neighbour Classifier for Semi-Supervised Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  8. Scalable and Adaptive Variational Bayes Methods for Hawkes Processes

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  9. Biological Sequence Kernels with Guaranteed Flexibility

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  10. Unified Discrete Diffusion for Categorical Data

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

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  12. Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation

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

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  14. Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  15. Sparse Semiparametric Discriminant Analysis for High-dimensional Zero-inflated Data

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  16. Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  17. Efficient Methods for Non-stationary Online Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  18. Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  19. Mixtures of Gaussian Process Experts with SMC^2

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  20. Robust Point Matching with Distance Profiles

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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