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Tag: sources

  • Learning from Biased and Costly Data Sources: Minimax-optimal Data Collection under a Budget

    Learning from Biased and Costly Data Sources: Minimax-optimal Data Collection under a Budget arXiv:2602.17894v1 Announce Type: new Abstract: Data collection is a critical component of modern statistical and machine learning pipelines, particularly when data must be gathered from multiple heterogeneous sources to study a target population of interest. In many use cases, such as medical…

  • Data-Driven March Madness Predictions

    Data-Driven March Madness Predictions March Madness is infamously unpredictable, a perfect storm where favorites tumble and underdogs rise to do the impossible. Every March, 64 men’s and 64 women’s College Basketball teams battle for glory, while millions of fans, analysts, and betting markets scramble to predict the outcomes. But the odds of picking a perfect…