TLDP is a nonparametric contextual dynamic pricing algorithm with provably minimax-optimal regret when source-domain data are available under covariate shift.
Corollary 2.20 in Wainwright, 2019), it holds that P nX i=1 Xi > p 2n log(1/δ2) ≤ 2δ2
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Transfer Learning for Nonparametric Contextual Dynamic Pricing
TLDP is a nonparametric contextual dynamic pricing algorithm with provably minimax-optimal regret when source-domain data are available under covariate shift.