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Tag: class

  • Retraining strategy with evolving classes + imbalanced labels?

    Retraining strategy with evolving classes + imbalanced labels? Hi all — I’m looking for advice on the best retraining strategy for a multi-class classifier in a setting where the label space can evolve. Right now I have about 6 labels, but I don’t know how many will show up over time, and some labels appear…

  • Which class should I take to help me get a job?

    Which class should I take to help me get a job? I’m in my final semester of my MS program and am deciding between Spatial and Non-Parametric statistics. I feel like spatial is less common but would make me stand out more for jobs specifically looking for spatial whereas NP would be more common but…

  • Functional Random Forest with Adaptive Cost-Sensitive Splitting for Imbalanced Functional Data Classification

    Functional Random Forest with Adaptive Cost-Sensitive Splitting for Imbalanced Functional Data Classification arXiv:2512.07888v1 Announce Type: new Abstract: Classification of functional data where observations are curves or trajectories poses unique challenges, particularly under severe class imbalance. Traditional Random Forest algorithms, while robust for tabular data, often fail to capture the intrinsic structure of functional observations and…

  • Exact Dynamics of Multi-class Stochastic Gradient Descent

    Exact Dynamics of Multi-class Stochastic Gradient Descent arXiv:2510.14074v1 Announce Type: new Abstract: We develop a framework for analyzing the training and learning rate dynamics on a variety of high- dimensional optimization problems trained using one-pass stochastic gradient descent (SGD) with data generated from multiple anisotropic classes. We give exact expressions for a large class of…

  • Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models

    Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models arXiv:2509.21423v1 Announce Type: new Abstract: We study the problem of causal structure learning from a combination of observational and interventional data generated by a linear non-Gaussian structural equation model that might contain cycles. Recent results show that using mere observational data identifies the causal graph only up…

  • Conformal Prediction for Long-Tailed Classification

    Conformal Prediction for Long-Tailed Classification arXiv:2507.06867v1 Announce Type: new Abstract: Many real-world classification problems, such as plant identification, have extremely long-tailed class distributions. In order for prediction sets to be useful in such settings, they should (i) provide good class-conditional coverage, ensuring that rare classes are not systematically omitted from the prediction sets, and (ii)…