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Poster
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Wed 7:45
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Improving Explorability in Variational Inference with Annealed Variational Objectives
Chin-Wei Huang · Shawn Tan · Alexandre Lacoste · Aaron Courville
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Spotlight
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Thu 6:55
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Discretely Relaxing Continuous Variables for tractable Variational Inference
Trefor Evans · Prasanth Nair
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Poster
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Thu 7:45
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Lifted Weighted Mini-Bucket
Nicholas Gallo · Alexander Ihler
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Poster
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Thu 7:45
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Discretely Relaxing Continuous Variables for tractable Variational Inference
Trefor Evans · Prasanth Nair
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Poster
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Thu 14:00
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Streamlining Variational Inference for Constraint Satisfaction Problems
Aditya Grover · Tudor Achim · Stefano Ermon
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Poster
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Thu 7:45
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Reparameterization Gradient for Non-differentiable Models
Wonyeol Lee · Hangyeol Yu · Hongseok Yang
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Poster
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Thu 7:45
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Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
Dominik Linzner · Heinz Koeppl
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Poster
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Wed 7:45
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The Description Length of Deep Learning models
Léonard Blier · Yann Ollivier
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Poster
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Tue 7:45
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GumBolt: Extending Gumbel trick to Boltzmann priors
Amir H Khoshaman · Mohammad Amin
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Poster
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Wed 14:00
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Stochastic Nonparametric Event-Tensor Decomposition
Shandian Zhe · Yishuai Du
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Poster
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Thu 14:00
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Bandit Learning with Implicit Feedback
Yi Qi · Qingyun Wu · Hongning Wang · Jie Tang · Maosong Sun
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Poster
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Thu 7:45
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Nonparametric learning from Bayesian models with randomized objective functions
Simon Lyddon · Stephen Walker · Chris C Holmes
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