Unverified50% confidenceFactExact time
Ridge regression is widely used in bandit policy evaluation to estimate the reward parameter θ from non-uniformly sampled data, with the closed-form solution θ^=(X^T X+λI)^{-1}X^T y, and the regularization term λ ensures that the design matrix remains invertible when samples are insufficient.
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10/16/2026
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