3 papers
cs.AI2020
Optimizing Offer Sets in Sub-Linear Time
Vivek F. Farias, Andrew A. Li, Deeksha Sinha
Personalization and recommendations are now accepted as core competencies in just about every online setting, ranging from media platforms to e-commerce to social networks. While t…
cs.LG2020
Multi-armed Bandits with Cost Subsidy
Deeksha Sinha, Karthik Abinav Sankararama, Abbas Kazerouni +1
In this paper, we consider a novel variant of the multi-armed bandit (MAB) problem, MAB with cost subsidy, which models many real-life applications where the learning agent has to…
cs.AI2020
Optimizing Revenue while showing Relevant Assortments at Scale
Theja Tulabandhula, Deeksha Sinha, Saketh Karra
Scalable real-time assortment optimization has become essential in e-commerce operations due to the need for personalization and the availability of a large variety of items. While…