Search Results - "Machines"

  1. Optimizing Return Distributions with Distributional Dynamic Programming

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  2. Imprecise Multi-Armed Bandits: Representing Irreducible Uncertainty as a Zero-Sum Game

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  3. Early Alignment in Two-Layer Networks Training is a Two-Edged Sword

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  4. Hierarchical Decision Making Based on Structural Information Principles

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  5. Generative Adversarial Networks: Dynamics

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  6. "What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  7. Assumption-lean and data-adaptive post-prediction inference

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

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

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

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

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

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

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

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

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

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

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

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

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