PhD student, University of Helsinki
1 paper at NeurIPS 2025
We introduce a novel framework that seamlessly integrates amortized Bayesian inference and active data acquisition, featuring adaptive strategies that can optimize for diverse, user-specified learning objectives at deployment.
