Neural Guided Constraint Logic Programming for Program Synthesis
By Lisa Zhang · Gregory Rosenblatt · Ethan Fetaya · Renjie Liao · William Byrd · Matthew Might · Raquel Urtasun · Richard Zemel

 

Learning Latent Subspaces in Variational Autoencoders
By Jack Klys · Jake Snell · Richard Zemel

 

Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
By David Madras · Toni Pitassi · Richard Zemel

 

Reversible Recurrent Neural Networks
By Matthew MacKay · Paul Vicol · Jimmy Ba · Roger Grosse

 

On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
By Maziar Sanjabi · Jimmy Ba · Meisam Razaviyayn · Jason Lee

 

Neural Ordinary Differential Equations
By Tian Qi Chen · Yulia Rubanova · Jesse Bettencourt · David Duvenaud

 

Isolating Sources of Disentanglement in Variational Autoencoders
By Tian Qi Chen · Xuechen Li · Roger Grosse · David Duvenaud

 

Iterative Value-Aware Model Learning
By Amir-massoud Farahmand

 

A Neural Compositional Paradigm for Image Captioning
By Bo Dai · Sanja Fidler · Dahua Lin

 

Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks
By Abdullah Rashwan · Agastya Kalra · Pascal Poupart · Prashant Doshi · Georgios Trimponias · Wei-Shou Hsu

 

Monte-Carlo Tree Search for Constrained POMDPs
By Jongmin Lee · Geon-hyeong Kim · Pascal Poupart · Kee-Eung Kim

 

Unsupervised Video Object Segmentation for Deep Reinforcement Learning
By Vikash Goel · Jameson Weng · Pascal Poupart

 

Deep Homogeneous Mixture Models: Representation, Separation, and Approximation
By Priyank Jaini · Pascal Poupart · Yaoliang Yu

 

Data-dependent PAC-Bayes priors via differential privacy
By Gintare Karolina Dziugaite · Daniel Roy

 

Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
By Hassan Ashtiani, Shai Ben-David, Nick Harvey, Chris Liaw, Abbas Mehrabian, Yaniv Plan

 

Non-convex Optimization with Discretized Diffusions
By Murat A Erdogdu, Lester Mackey, Ohad Shamir

 

Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
By Sergey Bartunov, Adam Santoro, Blake Richards, Luke Marris, Geoffrey E Hinton, Timothy Lillicrap

 

Occam’s razor is insufficient to infer the preferences of irrational agents
By Stuart Armstrong, Sören Mindermann

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