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Tag: categorical

  • A reproducible comparative study of categorical kernels for Gaussian process regression, with new clustering-based nested kernels

    A reproducible comparative study of categorical kernels for Gaussian process regression, with new clustering-based nested kernels arXiv:2510.01840v1 Announce Type: new Abstract: Designing categorical kernels is a major challenge for Gaussian process regression with continuous and categorical inputs. Despite previous studies, it is difficult to identify a preferred method, either because the evaluation metrics, the optimization…

  • Anomoly detection with only categorical variables

    Anomoly detection with only categorical variables Hello everyone, I have an anomoly detection project but all of my data is categorical. I suppose I could try and ask them to change it prediction but does anyone have any advice. The goal is to there are groups within the data and and do an analysis to…

  • Why CatBoost Works So Well: The Engineering Behind the Magic

    Why CatBoost Works So Well: The Engineering Behind the Magic Gradient boosting is a cornerstone technique for modeling tabular data due to its speed and simplicity. It delivers great results without any fuss. When you look around you’ll see multiple options like LightGBM, XGBoost, etc. Catboost is one such variant. In this post, we will…

  • Explaining Categorical Feature Interactions Using Graph Covariance and LLMs

    Explaining Categorical Feature Interactions Using Graph Covariance and LLMs arXiv:2501.14932v1 Announce Type: new Abstract: Modern datasets often consist of numerous samples with abundant features and associated timestamps. Analyzing such datasets to uncover underlying events typically requires complex statistical methods and substantial domain expertise. A notable example, and the primary data focus of this paper, is…