3 papers
cs.LG2026
Calibrating conditional risk
Andrey Vasilyev, Yikai Wang, Xiaocheng Li +1
We introduce and study the problem of calibrating conditional risk, which involves estimating the expected loss of a prediction model conditional on input features. We analyze this…
cs.AI2025
Risk Profiling and Modulation for LLMs
Yikai Wang, Xiaocheng Li, Guanting Chen
Large language models (LLMs) are increasingly used for decision-making tasks under uncertainty; however, their risk profiles and how they are influenced by prompting and alignment…
cs.LG2025
OMGPT: A Sequence Modeling Framework for Data-driven Operational Decision Making
Hanzhao Wang, Guanting Chen, Kalyan Talluri +1
We build a Generative Pre-trained Transformer (GPT) model from scratch to solve sequential decision making tasks arising in contexts of operations research and management science w…