Search Results for author:
Found 3 papers, 0 papers with code
Energy-Efficient Scheduling with Predictions
We show that, when the prediction error is small, this framework gives improved competitive ratios for many different energy-efficient scheduling problems, including energy minimization with deadlines, while also maintaining a bounded competitive ratio regardless of the prediction error.
Dynamic pricing and assortment under a contextual MNL demand
We consider dynamic multi-product pricing and assortment problems under an unknown demand over T periods, where in each period, the seller decides on the price for each product or the assortment of products to offer to a customer who chooses according to an unknown Multinomial Logit Model (MNL).
MNL-Bandit with Knapsacks: a near-optimal algorithm
The goal of the seller is to maximize the total expected revenue from the $T$ customers given the fixed initial inventory of $N$ products.
