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45 Results
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Poster
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Thu 7:45 |
Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo Marton Havasi · José Miguel Hernández-Lobato · Juan J. Murillo-Fuentes |
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Poster
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Thu 7:45 |
Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons Nima Anari · Constantinos Daskalakis · Wolfgang Maass · Christos Papadimitriou · Amin Saberi · Santosh Vempala |
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Poster
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Wed 14:00 |
Coupled Variational Bayes via Optimization Embedding Bo Dai · Hanjun Dai · Niao He · Weiyang Liu · Zhen Liu · Jianshu Chen · Lin Xiao · Le Song |
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Poster
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Tue 14:00 |
Information Constraints on Auto-Encoding Variational Bayes Romain Lopez · Jeffrey Regier · Michael Jordan · Nir Yosef |
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Poster
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Thu 7:45 |
Modular Networks: Learning to Decompose Neural Computation Louis Kirsch · Julius Kunze · David Barber |
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Poster
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Thu 7:45 |
Theoretical guarantees for EM under misspecified Gaussian mixture models Raaz Dwivedi · nhật Hồ · Koulik Khamaru · Martin Wainwright · Michael Jordan |
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Poster
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Thu 7:45 |
BRUNO: A Deep Recurrent Model for Exchangeable Data Iryna Korshunova · Jonas Degrave · Ferenc Huszar · Yarin Gal · Arthur Gretton · Joni Dambre |
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Poster
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Thu 7:45 |
Gaussian Process Prior Variational Autoencoders Francesco Paolo Casale · Adrian Dalca · Luca Saglietti · Jennifer Listgarten · Nicolo Fusi |
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Poster
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Wed 14:00 |
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies Alessandro Achille · Tom Eccles · Loic Matthey · Chris Burgess · Nicholas Watters · Alexander Lerchner · Irina Higgins |