Search Results - "Machines"

  1. Learning conditional distributions on continuous spaces

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  2. A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  3. Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  4. Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  5. Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  6. Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  7. Statistical field theory for Markov decision processes under uncertainty

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  8. Bayesian Data Sketching for Varying Coefficient Regression Models

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  9. Bagged k-Distance for Mode-Based Clustering Using the Probability of Localized Level Sets

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  10. Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  11. Invariant Subspace Decomposition

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  12. Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  13. Outlier Robust and Sparse Estimation of Linear Regression Coefficients

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  14. Affine Rank Minimization via Asymptotic Log-Det Iteratively Reweighted Least Squares

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  15. Causal Effect of Functional Treatment

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  16. Uplift Model Evaluation with Ordinal Dominance Graphs

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  17. High-Dimensional L2-Boosting: Rate of Convergence

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  18. Feature Learning in Finite-Width Bayesian Deep Linear Networks with Multiple Outputs and Convolutional Layers

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  19. How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  20. Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test

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