A shape-constrained dynamic pricing algorithm estimates the noise distribution via isotonic regression, achieving a ~O(T^{nu} d^{alpha/(alpha+2)}) regret bound under Holder continuity.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Dynamic Pricing in the Linear Valuation Model using Shape Constraints
A shape-constrained dynamic pricing algorithm estimates the noise distribution via isotonic regression, achieving a ~O(T^{nu} d^{alpha/(alpha+2)}) regret bound under Holder continuity.