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  1. Tumor-Promoting Crosstalk of MMP11⁺ Fibroblasts and SPP1⁺ Macrophages Drive Poor Prognosis in Breast Cancer: Integrated Multi-Omics Analysis

    Published in ImmunoTargets and Therapy (2026)
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  2. Expanding the Rounding Paradigm: Incorporating Inpatient virtual rounds into Infectious Diseases Practice

    Published in Open Forum Infectious Diseases (2026)
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  3. Fatal Case of Balamuthia Amoebic Encephalitis in A Patient with MOG Antibody-Associated Disease

    Published in Open Forum Infectious Diseases (2026)
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  4. Delays in diagnosis of Powassan virus encephalitis—Vermont, 2022–2023

    Published in Open Forum Infectious Diseases (2026)
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  5. Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals

    Published in JMLR (2026)
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  6. Invariant Subspace Decomposition

    Published in JMLR (2026)
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  7. Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights

    Published in JMLR (2026)
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  8. Outlier Robust and Sparse Estimation of Linear Regression Coefficients

    Published in JMLR (2026)
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  9. Affine Rank Minimization via Asymptotic Log-Det Iteratively Reweighted Least Squares

    Published in JMLR (2026)
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  10. Causal Effect of Functional Treatment

    Published in JMLR (2026)
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  11. Uplift Model Evaluation with Ordinal Dominance Graphs

    Published in JMLR (2026)
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  12. High-Dimensional L2-Boosting: Rate of Convergence

    Published in JMLR (2026)
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  13. Feature Learning in Finite-Width Bayesian Deep Linear Networks with Multiple Outputs and Convolutional Layers

    Published in JMLR (2026)
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  14. How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences

    Published in JMLR (2026)
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  15. Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test

    Published in JMLR (2026)
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  16. On Inference for the Support Vector Machine

    Published in JMLR (2026)
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  17. Random Pruning Over-parameterized Neural Networks Can Improve Generalization: A Training Dynamics Analysis

    Published in JMLR (2026)
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  18. Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability

    Published in JMLR (2026)
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  19. Implicit vs Unfolded Graph Neural Networks

    Published in JMLR (2026)
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  20. Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification

    Published in JMLR (2026)
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