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    DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

    Published in JMLR (2026)
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    An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models

    Published in JMLR (2026)
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    Generalized multi-view model: Adaptive density estimation under low-rank constraints

    Published in JMLR (2026)
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    Optimal subsampling for high-dimensional partially linear models via machine learning methods

    Published in JMLR (2026)
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    Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters

    Published in JMLR (2026)
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    DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

    Published in JMLR (2026)
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    EXPLAINING ADDITIVE WEIBULL MODEL PARAMETER ESTIMATION WITH XAI: A SHAP AND LIME ANALYSIS

    Published in Computer Science (2026)
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    An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models

    Published in JMLR (2026)
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    Generalized multi-view model: Adaptive density estimation under low-rank constraints

    Published in JMLR (2026)
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  10. Cover Image

    Optimal subsampling for high-dimensional partially linear models via machine learning methods

    Published in JMLR (2026)
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  11. Cover Image

    Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters

    Published in JMLR (2026)
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  12. Cover Image

    DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

    Published in JMLR (2026)
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  13. Cover Image

    An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models

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  14. Cover Image

    Generalized multi-view model: Adaptive density estimation under low-rank constraints

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  15. Cover Image

    Optimal subsampling for high-dimensional partially linear models via machine learning methods

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  16. Cover Image

    Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters

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  17. Cover Image

    DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

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    Cross-Attention Reprogramming for ASR: Bridging Discrete Speech Units and Pretrained Language Models

    Published in IEEE Access (2025)
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    The extensional realizability model of continuous functionals and three weakly non-constructive classical theorems

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    Partial Model Checking using Networks of Labelled Transition Systems and Boole an Equation Systems

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