3 papers
cs.LG2026
Augmented Hypothesis Testing with Persona-Based LLM Simulations
Ziyad Benomar, Aymen Al Marjani, Paul Missault +1
A/B testing requires large sample sizes, long timelines, and significant costs. When auxiliary predictions of experimental outcomes are available from machine learning models, unce…
cs.CL2026
RADIUS: Ranking, Distribution, and Significance - A Comprehensive Alignment Suite for Survey Simulation
Weronika Łajewska, Paul Missault, George Davidson +1
Simulation of surveys using LLMs is emerging as a powerful application for generating human-like responses at scale. Prior work evaluates survey simulation using metrics borrowed f…
stat.ME2025
Robust and efficient multiple-unit switchback experimentation
Paul Missault, Lorenzo Masoero, Christian Delbé +2
User-randomized A/B testing has emerged as the gold standard for online experimentation. However, when this kind of approach is not feasible due to legal, ethical or practical cons…