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  1. Transformers from Diffusion: A Unified Framework for Neural Message Passing

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  2. Modelling Populations of Interaction Networks via Distance Metrics

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  3. BitNet: 1-bit Pre-training for Large Language Models

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  4. Last-iterate Convergence of Shuffling Momentum Gradient Method under the Kurdyka-Lojasiewicz Inequality

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  5. Posterior and Variational Inference for Deep Neural Networks with Heavy-Tailed Weights

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  6. Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  7. Degree of Interference: A General Framework For Causal Inference Under Interference

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  8. Quantifying the Effectiveness of Linear Preconditioning in Markov Chain Monte Carlo

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  9. Sparse SVM with Hard-Margin Loss: a Newton-Augmented Lagrangian Method in Reduced Dimensions

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  10. On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  11. Bayesian Scalar-on-Image Regression with a Spatially Varying Single-layer Neural Network Prior

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  12. DRM Revisited: A Complete Error Analysis

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  13. Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  14. On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  15. Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  16. Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  17. On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  18. A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  19. A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  20. Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities

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