From the 1 of 13 linked papers with an AI index.
1 citations · 1 across the 7 of their papers we have counts for
13 papers
Adaptive Ad Load Design for Sponsored Search Markets: Evidence, Theory, and Deployment
Mohammad Rashid, Hema Yoganarasimhan
The paper investigates how the number of sponsored slots shown in search results affects revenue and user behavior, using a large field experiment, and proposes an adaptive algorit…
Rectification Difficulty and Optimal Sample Allocation in LLM-Augmented Surveys
Zikun Ye, Hema Yoganarasimhan
Large Language Models can generate synthetic survey responses at low cost, but their accuracy varies unpredictably across questions. We study the design problem of allocating a fix…
Fair Document Valuation in LLM Summaries via Shapley Values
Zikun Ye, Hema Yoganarasimhan
Large Language Models (LLMs) increasingly power search engines and AI assistants that retrieve and summarize content from many sources. By serving answers directly, these systems o…
Channel Adoption Pathways and Post-Adoption Behavior
Shirsho Biswas, Hema Yoganarasimhan, Haonan Zhang
The rapid growth of digital shopping channels has led many traditional retailers to invest in e-commerce websites and mobile apps. While prior research shows that multichannel cust…
An Empirical Risk Minimization Approach for Offline Inverse RL and Dynamic Discrete Choice Model
Enoch H. Kang, Hema Yoganarasimhan, Lalit Jain
We study the problem of estimating Dynamic Discrete Choice (DDC) models, also known as offline Maximum Entropy-Regularized Inverse Reinforcement Learning (offline MaxEnt-IRL) in ma…
Boundedly Rational Meta-Learning in Sequential Consumer Choice
Mehrzad Khosravi, Max Kleiman-Weiner, Hema Yoganarasimhan
Many consumer decisions involve repeated choices under uncertainty, where experience in one context may inform decisions in another. For example, experience with a brand in one mar…