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  1. gsplat: An Open-Source Library for Gaussian Splatting

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  2. Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  3. Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  4. Accelerating optimization over the space of probability measures

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  5. Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  6. Orthogonal Bases for Equivariant Graph Learning with Provable k-WL Expressive Power

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  7. Optimal Experiment Design for Causal Effect Identification

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  8. Mean Aggregator is More Robust than Robust Aggregators under Label Poisoning Attacks on Distributed Heterogeneous Data

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  9. The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  10. depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  11. The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  12. Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  13. Directed Cyclic Graphs for Simultaneous Discovery of Time-Lagged and Instantaneous Causality from Longitudinal Data Using Instrumental Variables

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  14. Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  15. Regularizing Hard Examples Improves Adversarial Robustness

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  16. Random ReLU Neural Networks as Non-Gaussian Processes

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  17. Riemannian Bilevel Optimization

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  18. Supervised Learning with Evolving Tasks and Performance Guarantees

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  19. Error estimation and adaptive tuning for unregularized robust M-estimator

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  20. From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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