Tag: shift
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Stop Blaming the Data: A Better Way to Handle Covariance Shift
Stop Blaming the Data: A Better Way to Handle Covariance Shift Instead of using shift as an excuse for poor performance, use Inverse Probability Weighting to estimate how your model should perform in the new environment The post Stop Blaming the Data: A Better Way to Handle Covariance Shift appeared first on Towards Data Science.…
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Task Shift: From Classification to Regression in Overparameterized Linear Models
Task Shift: From Classification to Regression in Overparameterized Linear Models arXiv:2502.13285v1 Announce Type: new Abstract: Modern machine learning methods have recently demonstrated remarkable capability to generalize under task shift, where latent knowledge is transferred to a different, often more difficult, task under a similar data distribution. We investigate this phenomenon in an overparameterized linear regression…