5 citations · 7 across the 10 of their papers we have counts for
5 papers · 1 filter
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…
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…
Multi-Purchase Behavior: Modeling, Estimation and Optimization
Theja Tulabandhula, Deeksha Sinha, Saketh Reddy Karra +1
We study the problem of modeling purchase of multiple products and utilizing it to display optimized recommendations for online retailers and e-commerce platforms. We present a par…
The Limits to Learning a Diffusion Model
Jackie Baek, Vivek F. Farias, Andreea Georgescu +5
This paper provides the first sample complexity lower bounds for the estimation of simple diffusion models, including the Bass model (used in modeling consumer adoption) and the SI…
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…