Search Results - Data Intelligence

  1. Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity

    Published in JMLR (2026)
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  2. Sparse Semiparametric Discriminant Analysis for High-dimensional Zero-inflated Data

    Published in JMLR (2026)
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  3. On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension

    Published in JMLR (2026)
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  4. Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity

    Published in JMLR (2026)
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  5. Sparse Semiparametric Discriminant Analysis for High-dimensional Zero-inflated Data

    Published in JMLR (2026)
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  6. On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension

    Published in JMLR (2026)
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  7. Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity

    Published in JMLR (2026)
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  8. Sparse Semiparametric Discriminant Analysis for High-dimensional Zero-inflated Data

    Published in JMLR (2026)
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  9. On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension

    Published in JMLR (2026)
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  10. Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

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  11. Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation

    Published in JMLR (2026)
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  12. "What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts

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  13. Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data

    Published in JMLR (2026)
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  14. Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation

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  15. "What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts

    Published in JMLR (2026)
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  16. Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data

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  17. Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation

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  18. "What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts

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  19. Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data

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  20. Enhancing sentiment classification on small datasets through data augmentation and transfer learning

    Published in Discover AI (2026)
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