4 citations · 4 across the 5 of their papers we have counts for
5 papers
Efficient Autoregressive Inference for Transformer Probabilistic Models
Conor Hassan, Nasrulloh Loka, Cen-You Li +6
Set-based transformer models for amortized probabilistic inference and meta-learning, such as neural processes, prior-fitted networks, and tabular foundation models, excel at singl…
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…
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.…
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…
Safe Active Learning for Multi-Output Gaussian Processes
Cen-You Li, Barbara Rakitsch, Christoph Zimmer
Multi-output regression problems are commonly encountered in science and engineering. In particular, multi-output Gaussian processes have been emerged as a promising tool for model…