<ul><li>Performative Prediction deals with scenarios where deploying a model causes a shift in input data distribution.</li><li>Visualization of the loss landscape can complement theoretical advances with practical insights.</li><li>A new decoupled risk visualization method is introduced for understanding risk landscape with two parameter vectors: model parameters and data parameters.</li><li>Extended Performative Prediction is proposed to capture scenarios where the distribution reacts to a model different from the decision-making one.</li></ul>

The Decoupled Risk Landscape in Performative Prediction

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