Deterministic preference feedback enables parametric distribution estimation at an O(1/n) rate, a quadratic improvement over the sample-only rate, with a matching minimax lower bound.
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Learning Parametric Distributions from Samples and Preferences
Deterministic preference feedback enables parametric distribution estimation at an O(1/n) rate, a quadratic improvement over the sample-only rate, with a matching minimax lower bound.