Search Results - (aggression OR regression)

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    Feature selection for probabilistic load forecasting via sparse penalized quantile regression

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    OLR-WAA: Adaptive and Drift-Resilient Online Regression with Dynamic Weighted Averaging

    Published in DSE (2025)
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    Hierarchical and Stochastic Crystallization Learning: Geometrically Leveraged Nonparametric Regression with Delaunay Triangulation

    Published in JMLR (2026)
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    Inferring Change Points in High-Dimensional Regression via Approximate Message Passing

    Published in JMLR (2026)
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    Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions

    Published in JMLR (2026)
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    An improper estimator with optimal excess risk in misspecified density estimation and logistic regression

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    Estimating Network-Mediated Causal Effects via Principal Components Network Regression

    Published in JMLR (2026)
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    Hierarchical and Stochastic Crystallization Learning: Geometrically Leveraged Nonparametric Regression with Delaunay Triangulation

    Published in JMLR (2026)
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    Inferring Change Points in High-Dimensional Regression via Approximate Message Passing

    Published in JMLR (2026)
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    Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions

    Published in JMLR (2026)
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    Scalar-on-Distribution Regression for Assessing the Impact of Climate Change on Rice Yield in Vietnam

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    Estimating Network-Mediated Causal Effects via Principal Components Network Regression

    Published in JMLR (2026)
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  13. Cover Image

    Hierarchical and Stochastic Crystallization Learning: Geometrically Leveraged Nonparametric Regression with Delaunay Triangulation

    Published in JMLR (2026)
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  14. Cover Image

    Inferring Change Points in High-Dimensional Regression via Approximate Message Passing

    Published in JMLR (2026)
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    Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions

    Published in JMLR (2026)
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  16. Cover Image

    Estimating Network-Mediated Causal Effects via Principal Components Network Regression

    Published in JMLR (2026)
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  17. Cover Image

    Hierarchical and Stochastic Crystallization Learning: Geometrically Leveraged Nonparametric Regression with Delaunay Triangulation

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  18. Cover Image

    Inferring Change Points in High-Dimensional Regression via Approximate Message Passing

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  19. Cover Image

    Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions

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    Complex Equation Learner: Rational Symbolic Regression with Gradient Descent in Complex Domain

    Published in ArXiv cs.LG Recent Papers (2026)
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