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We study the problem of learning shared structure across a sequence of dynamic pricing experiments for related products … unknown prior in Thompson sampling is negligible in experiment-rich environments with shared structure (large N). Numerical … experiments on synthetic and real auto loan data demonstrate that our algorithm significantly speeds up learning compared to prior …
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-relevant choice. Behavior of more experienced sellers was consistent with benchmark theory: average reserve price for these sellers …
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