Search Results - "Machine Learning"

  1. Learning causal graphs via nonlinear sufficient dimension reduction

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  2. On Consistent Bayesian Inference from Synthetic Data

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  3. Optimization Over a Probability Simplex

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  4. Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  5. Sampling and Estimation on Manifolds using the Langevin Diffusion

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  6. Sharp Bounds for Sequential Federated Learning on Heterogeneous Data

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  7. Local Linear Recovery Guarantee of Deep Neural Networks at Overparameterization

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  8. Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  9. Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  10. Deletion Robust Non-Monotone Submodular Maximization over Matroids

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  11. Instability, Computational Efficiency and Statistical Accuracy

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  12. Estimation of Local Geometric Structure on Manifolds from Noisy Data

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  13. Ontolearn---A Framework for Large-scale OWL Class Expression Learning in Python

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  14. Continuously evolving rewards in an open-ended environment

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  15. Recursive Causal Discovery

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  16. Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  17. On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  18. Determine the Number of States in Hidden Markov Models via Marginal Likelihood

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  19. Variance-Aware Estimation of Kernel Mean Embedding

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  20. Scaling ResNets in the Large-depth Regime

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