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  1. Variance-Aware Estimation of Kernel Mean Embedding

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

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  3. A Comparative Evaluation of Quantification Methods

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  4. Lightning UQ Box: Uncertainty Quantification for Neural Networks

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  5. Scaling Data-Constrained Language Models

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  6. Curvature-based Clustering on Graphs

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  7. Composite Goodness-of-fit Tests with Kernels

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  8. DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  9. Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  10. Manifold Fitting under Unbounded Noise

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  11. Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  12. Extremal graphical modeling with latent variables via convex optimization

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  13. On the Approximation of Kernel functions

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  14. Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  15. Unbalanced Kantorovich-Rubinstein distance, plan, and barycenter on nite spaces: A statistical perspective

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  16. Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  17. Rank-one Convexification for Sparse Regression

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  18. gsplat: An Open-Source Library for Gaussian Splatting

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  19. Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  20. Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds

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