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Poster
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Wed 18:30
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Tractability in Structured Probability Spaces
Arthur Choi · Yujia Shen · Adnan Darwiche
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Poster
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Tue 18:30
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Hierarchical Attentive Recurrent Tracking
Adam Kosiorek · Alex Bewley · Ingmar Posner
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Poster
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Tue 18:30
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Deep Dynamic Poisson Factorization Model
Chengyue Gong · win-bin huang
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Poster
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Mon 18:30
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Saliency-based Sequential Image Attention with Multiset Prediction
Sean Welleck · Jialin Mao · Kyunghyun Cho · Zheng Zhang
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Poster
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Wed 18:30
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Hierarchical Implicit Models and Likelihood-Free Variational Inference
Dustin Tran · Rajesh Ranganath · David Blei
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Poster
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Wed 18:30
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An Empirical Bayes Approach to Optimizing Machine Learning Algorithms
James McInerney
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Poster
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Wed 18:30
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Doubly Stochastic Variational Inference for Deep Gaussian Processes
Hugh Salimbeni · Marc Deisenroth
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Poster
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Wed 18:30
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Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models
Rishit Sheth · Roni Khardon
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Poster
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Mon 18:30
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Learning Hierarchical Information Flow with Recurrent Neural Modules
Danijar Hafner · Alexander Irpan · James Davidson · Nicolas Heess
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Poster
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Mon 18:30
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Collapsed variational Bayes for Markov jump processes
Boqian Zhang · Jiangwei Pan · Vinayak Rao
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Poster
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Mon 18:30
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Bayesian Compression for Deep Learning
Christos Louizos · Karen Ullrich · Max Welling
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Poster
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Mon 18:30
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Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data
Stéphanie ALLASSONNIERE · Juliette Chevallier · Stephane Oudard
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