works on

From the 1 of 13 linked papers with an AI index.

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20242026
most citedAn Empirical Risk Minimization Approach for Offline Inverse RL and Dynamic Discrete Choice Model

1 citations · 1 across the 7 of their papers we have counts for

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13 papers

cs.LG2026

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…

cs.AI2026

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…

cs.CL2026

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…

econ.GN2026

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…

cs.LG20261 cited

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…

cs.LG2026

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…