On the Representational Efficiency of Restricted Boltzmann Machines

no code implementations • NeurIPS 2013 • James Martens, Arkadev Chattopadhya, Toni Pitassi, Richard Zemel

This paper examines the question: What kinds of distributions can be efficiently represented by Restricted Boltzmann Machines (RBMs)?

Learning Fair Representations

2 code implementations • International Conference on Machine Learning 2013 • Rich Zemel, Yu Wu, Kevin Swersky, Toni Pitassi, Cynthia Dwork

We propose a learning algorithm for fair classification that achieves both group fairness (the proportion of members in a protected group receiving positive classification is identical to the proportion in the population as a whole), and individual fairness (similar individuals should be treated similarly).

Classification Fairness +1