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  1. Scaling Capability in Token Space: An Analysis of Large Vision Language Model

    Published in JMLR (2026)
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  2. Model-free Change-Point Detection Using AUC of a Classifier

    Published in JMLR (2026)
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  3. BitNet: 1-bit Pre-training for Large Language Models

    Published in JMLR (2026)
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  4. On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls

    Published in JMLR (2026)
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  5. On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension

    Published in JMLR (2026)
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  6. Determine the Number of States in Hidden Markov Models via Marginal Likelihood

    Published in JMLR (2026)
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  7. Scaling Capability in Token Space: An Analysis of Large Vision Language Model

    Published in JMLR (2026)
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  8. Model-free Change-Point Detection Using AUC of a Classifier

    Published in JMLR (2026)
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  9. BitNet: 1-bit Pre-training for Large Language Models

    Published in JMLR (2026)
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  10. On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls

    Published in JMLR (2026)
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  11. On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension

    Published in JMLR (2026)
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  12. Determine the Number of States in Hidden Markov Models via Marginal Likelihood

    Published in JMLR (2026)
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  13. Scaling Capability in Token Space: An Analysis of Large Vision Language Model

    Published in JMLR (2026)
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  14. Model-free Change-Point Detection Using AUC of a Classifier

    Published in JMLR (2026)
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  15. BitNet: 1-bit Pre-training for Large Language Models

    Published in JMLR (2026)
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  16. On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls

    Published in JMLR (2026)
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  17. On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension

    Published in JMLR (2026)
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  18. Determine the Number of States in Hidden Markov Models via Marginal Likelihood

    Published in JMLR (2026)
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  19. Robustness and authorship bias of large language models in scientific abstracts scoring

    Published in Discover AI (2026)
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  20. A comparative study of survival metrics for aircraft turbofan engine using statistical and machine learning models

    Published in Arabian Journal of Mathematics (2026)
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