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

    Published in JMLR (2026)
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    Identifiability of Causal Graphs under Non-Additive Conditionally Parametric Causal Models

    Published in JMLR (2026)
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    Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees

    Published in JMLR (2026)
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    Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process

    Published in JMLR (2026)
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    Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models

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

    Published in JMLR (2026)
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  7. Cover Image

    Identifiability of Causal Graphs under Non-Additive Conditionally Parametric Causal Models

    Published in JMLR (2026)
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  8. Cover Image

    Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees

    Published in JMLR (2026)
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  9. Cover Image

    Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process

    Published in JMLR (2026)
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  10. Cover Image

    Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models

    Published in JMLR (2026)
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  11. Cover Image

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

    Published in JMLR (2026)
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  12. Cover Image

    Identifiability of Causal Graphs under Non-Additive Conditionally Parametric Causal Models

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  13. Cover Image

    Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees

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  14. Cover Image

    Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process

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  15. Cover Image

    Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models

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  16. Cover Image

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

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  17. Cover Image

    Evolutionary-Algorithm-Based Automatic Prompt Generation for Vision-Language Model Evaluation

    Published in IEEE Access (2025)
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    GALFITools: A Python library to enhance GALFIT usage in galaxy image modeling

    Published in Journal of Open Source Software (2025)
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  19. Cover Image

    Lifting Coalgebra Modalities and $mathsf{MELL}$ Model Structure to Eilenberg-Moore Categories

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    The parameterized space complexity of model-checking bounded variable first-order logic

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