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Stable Learning via Sample Reweighting

https://doi.org/10.1609/aaai.v34i04.6024
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Estimating attributes: Analysis and extensions of RELIEF
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A well-conditioned estimator for large-dimensional covariance matrices
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Density Ratio Estimation in Machine Learning
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Theoretical Comparison between the Gini Index and Information Gain Criteria
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Conditioning Diagnostics: Collinearity and Weak Data in Regression
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A Survey on Transfer Learning
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Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
inferredcites →https://doi.org/10.1111/j.1467-9868.2005.00503.xopenalex-snapshot
Regularization and Variable Selection Via the Elastic Net
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Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1142/s0219720005001004openalex-snapshot
MINIMUM REDUNDANCY FEATURE SELECTION FROM MICROARRAY GENE EXPRESSION DATA
inferredcites →https://doi.org/10.2307/1937887openalex-snapshot
Multicollinearity in Regression Analysis: The Problem Revisited
inferredcites →https://doi.org/10.48550/arxiv.1109.1990openalex-snapshot
Trace Lasso: a trace norm regularization for correlated designs
inferredcites →https://doi.org/10.48550/arxiv.1711.01796openalex-snapshot
Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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