Carolina Osorio — accepted AI-conference papers

2025

BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem

Seunghee Ryu, Donghoon Kwon, Seongjin Choi, Aryan Deshwal, Seungmo Kang, Carolina Osorio

NeurIPS 2025poster

We introduce BO4Mob, a new benchmark framework for high-dimensional Bayesian Optimization (BO), driven by the challenge of origin-destination (OD) travel demand estimation in large urban road networks. Estimating OD travel demand from limited traffic sensor data is a difficult inverse optimization p…

Cited by 0 Source ↗code ↗Scholar ↗

2024

Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference

Sam Griesemer, Defu Cao, Zijun Cui, Carolina Osorio, Yan Liu

NeurIPS 2024poster

Computer simulations have long presented the exciting possibility of scientific insight into complex real-world processes. Despite the power of modern computing, however, it remains challenging to systematically perform inference under simulation models. This has led to the rise of simulation-based…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗