27 citations · 44 across the 3 of their papers we have counts for
4 papers
The Bayesian Approach to Continual Learning: An Overview
Tameem Adel
Continual learning is an online paradigm where a learner continually accumulates knowledge from different tasks encountered over sequential time steps. Importantly, the learner is…
Continual Learning with Adaptive Weights (CLAW)
Tameem Adel, Han Zhao, Richard E. Turner
Approaches to continual learning aim to successfully learn a set of related tasks that arrive in an online manner. Recently, several frameworks have been developed which enable dee…
Conditional Learning of Fair Representations
Han Zhao, Amanda Coston, Tameem Adel +1
We propose a novel algorithm for learning fair representations that can simultaneously mitigate two notions of disparity among different demographic subgroups in the classification…
Learning Bayesian Networks with Incomplete Data by Augmentation
Tameem Adel, Cassio P. de Campos
We present new algorithms for learning Bayesian networks from data with missing values using a data augmentation approach. An exact Bayesian network learning algorithm is obtained…