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  1. Assumption-lean and data-adaptive post-prediction inference

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  2. Bagged Regularized k-Distances for Anomaly Detection

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  3. Four Axiomatic Characterizations of the Integrated Gradients Attribution Method

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  4. Fast Algorithm for Constrained Linear Inverse Problems

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  5. High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant Spaces

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  6. Best Linear Unbiased Estimate from Privatized Contingency Tables

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  7. Interpretable Global Minima of Deep ReLU Neural Networks on Sequentially Separable Data

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  8. Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  9. Data-Driven Performance Guarantees for Classical and Learned Optimizers

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  10. Contextual Bandits with Stage-wise Constraints

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  11. Boosting Causal Additive Models

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  12. Frequentist Guarantees of Distributed (Non)-Bayesian Inference

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  13. Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable Selection

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  14. EMaP: Explainable AI with Manifold-based Perturbations

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  15. Autoencoders in Function Space

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  16. Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  17. System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  18. Distribution Estimation under the Infinity Norm

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  19. Extending Temperature Scaling with Homogenizing Maps

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  20. Density Estimation Using the Perceptron

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