Balázs Kégl

From Data to Rewards: a Bi-level Optimization Perspective on Maximum Likelihood Estimation

LLMs as In-Context Meta-Learners for Model and Hyperparameter Selection

Zero-shot Model-based Reinforcement Learning using Large Language Models

AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting