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Harry Bendekgey

2 accepted papers

2023

Unbiased learning of deep generative models with structured discrete representations

NeurIPS 2023poster

By composing graphical models with deep learning architectures, we learn generative models with the strengths of both frameworks. The structured variational autoencoder (SVAE) inherits structure and interpretability from graphical models, and flexible likelihoods for high-dimensional data from deep…

2021

Scalable and Stable Surrogates for Flexible Classifiers with Fairness Constraints

NeurIPS 2021poster

We investigate how fairness relaxations scale to flexible classifiers like deep neural networks for images and text. We analyze an easy-to-use and robust way of imposing fairness constraints when training, and through this framework prove that some prior fairness surrogates exhibit degeneracies for…

Cited by 18SourcePDFScholar