Predict Responsibly: Increasing Fairness by Learning to Defer

By David Madras, Toniann Pitassi, Richard Zemel


Isolating Sources of Disentanglement in Variational Autoencoders

By Tian Qi Chen, Xuechen Li, Roger Grosse, David Duvenaud


Graph Partition Neural Networks for Semi-Supervised Classification

By Renjie Liao, Marc Brockschmidt, Daniel Tarlow, Alexander Gaunt, Raquel Urtasun, Richard S. Zemel


Gradient-based Optimization of Neural Network Architecture

By Will Grathwohl, Elliot Creager, Seyed Ghasemipour, Richard Zemel


Reconstructing evolutionary trajectories of mutations in cancer

By Yulia Rubanova, Ruian Shi, Roujia Li, Jeff Wintersinger, Amit Deshwar, Nil Sahin, Quaid Morris


Inference in probabilistic graphical models by Graph Neural Networks

By KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard Zemel, Xaq Pitkow


Leveraging Constraint Logic Programming for Neural Guided Program Synthesis

By Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William Byrd, Raquel Urtasun, Richard Zemel

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