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  1. Locally Private Causal Inference for Randomized Experiments

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  2. Estimating Network-Mediated Causal Effects via Principal Components Network Regression

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  3. Selective Inference with Distributed Data

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  4. Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  5. An Axiomatic Definition of Hierarchical Clustering

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  6. Test-Time Training on Video Streams

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  7. A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  8. Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  9. Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  10. DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  11. Efficiently Escaping Saddle Points in Bilevel Optimization

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  12. Quantum-like coherence derived from the interaction between chemical reaction and its environment

    Published in Discover AI (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  13. An efficient and high-quality circuit schematic generation method based on action mask and graph neural network

    Published in Discover AI (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  14. The application of blockchain and smart contracts in the trusted evidence storage of carbon trading data of listed companies

    Published in Discover AI (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  15. Measuring accuracy of AI generated definitions using cosine similarity index across select GPT models

    Published in Discover AI (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  16. Unveiling the intellectual landscape of artificial intelligence and consumer behavior

    Published in Discover AI (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  17. Towards smarter IoT through taxonomy and prospective directions for microservices placement in fog computing paradigms

    Published in Discover AI (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  18. Agricultural robot plant automatic detection integrating visual navigation and phenotype recognition

    Published in Discover AI (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  19. TriGWONet a lightweight multibranch convolutional neural network using gray wolf optimization for accurate oral cancer image classification

    Published in Discover AI (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  20. Availability prediction of solar water pumping system through stochastic modeling and nature-inspired algorithms

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