3 papers
cs.LG2025
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies From Simulated Nonparametric Functions
Cen-You Li, Marc Toussaint, Barbara Rakitsch +1
Safe active learning (AL) is a sequential scheme for learning unknown systems while respecting safety constraints during data acquisition. Existing methods often rely on Gaussian p…
cs.LG2024
Amortized Active Learning for Nonparametric Functions
Cen-You Li, Marc Toussaint, Barbara Rakitsch +1
Active learning (AL) is a sequential learning scheme aiming to select the most informative data. AL reduces data consumption and avoids the cost of labeling large amounts of data.…
cs.LG2024
Global Safe Sequential Learning via Efficient Knowledge Transfer
Cen-You Li, Olaf Duennbier, Marc Toussaint +2
Sequential learning methods, such as active learning and Bayesian optimization, aim to select the most informative data for task learning. In many applications, however, data selec…