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cs.LG2026
Organizing LLM Inference for Aggregate Predictions from Behavioral Data
Varun Gupta, Vijay Kamble
When using a large language model (LLM) to simulate a user population, how should we combine individual behavioral histories to predict the fraction of users who take a particular…
cs.LG2026
The Role of Causality in Algorithmic Recourse
Srikanth Avasarala, Varun Gupta, Shahin Jabbari +2
Algorithmic recourse aims to provide individuals with actionable changes to improve their predicted outcomes in high-stakes classification settings, such as loan and mortgage appli…
cs.LG2026
Causal Multi-Task Demand Learning
Varun Gupta, Vijay Kamble
We study a canonical multi-task demand-learning problem motivated by retail pricing, where a firm seeks to estimate heterogeneous linear price-response functions across multiple de…