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On MAP Inference of Ferromagnetic Potts Models and Nonsymmetric Determinantal Point Processes
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Applications of Statistical Language Models in Complex Network Community Detection and Definition Modeling
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A Novel Parallel Adaptive Survivor Selection Framework for Large-Scale Simulation Optimization
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Risk Prediction with Longitudinal Gene Expression Data Using Statistical and Machine Learning Method
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Essay on Foundation Models and Reinforcement Learning
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Asymptotic Uncertainty Quantification and Its Application in Efficient Sampling and Learning
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A Hybrid Physics-Based And Data-Driven Modeling Framework For Energy And Water Use Analysis Of Data Centers With Spatio-Temporal Resolution
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Stochastic Noise in Gene Expression Impacts Developmental Self-organization
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Subgroup Identification in Longitudinal Studies
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Sequential Change-point Detection for Time Series
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