66 citations · 300 across the 29 of their papers we have counts for
5 papers · 1 filter
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 Neural Networks with Adaptive Regularization
Han Zhao, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov +1
Feed-forward neural networks can be understood as a combination of an intermediate representation and a linear hypothesis. While most previous works aim to diversify the representa…
Inherent Tradeoffs in Learning Fair Representations
Han Zhao, Geoffrey J. Gordon
Real-world applications of machine learning tools in high-stakes domains are often regulated to be fair, in the sense that the predicted target should satisfy some quantitative not…
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation
Han Zhao, Jianfeng Chi, Yuan Tian +1
Crowdsourced data used in machine learning services might carry sensitive information about attributes that users do not want to share. Various methods have been proposed to minimi…