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Poster
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Tue 18:30 |
Independent Innovation Analysis for Nonlinear Vector Autoregressive Process Hiroshi Morioka · Hermanni Hälvä · Aapo Hyvarinen |
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Poster
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Thu 7:30 |
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders Alexander Camuto · Matthew Willetts · Stephen Roberts · Chris Holmes · Tom Rainforth |
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Poster
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Thu 7:30 |
Longitudinal Variational Autoencoder Siddharth Ramchandran · Gleb Tikhonov · Kalle Kujanpää · Miika Koskinen · Harri Lähdesmäki |
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Poster
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Wed 6:00 |
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints Robin Vogel · Aurélien Bellet · Stephan Clémençon |
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Poster
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Thu 7:30 |
Variational Autoencoder with Learned Latent Structure Marissa Connor · Gregory Canal · Christopher Rozell |
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Poster
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Tue 14:00 |
On the Privacy Properties of GAN-generated Samples Zinan Lin · Vyas Sekar · Giulia Fanti |
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Poster
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Tue 18:30 |
GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences Mucong Ding · Constantinos Daskalakis · Soheil Feizi |
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Poster
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Wed 6:00 |
On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models Yuyang Shi · Rob Cornish |
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Poster
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Wed 6:00 |
Scalable Gaussian Process Variational Autoencoders Metod Jazbec · Matt Ashman · Vincent Fortuin · Michael Pearce · Stephan Mandt · Gunnar Rätsch |
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Poster
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Wed 12:45 |
Provable Hierarchical Imitation Learning via EM Zhiyu Zhang · Ioannis Paschalidis |
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Poster
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Tue 14:00 |
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data Yu Gong · Hossein Hajimirsadeghi · Jiawei He · Thibaut Durand · Greg Mori |
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Poster
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Wed 6:00 |
Nonlinear Functional Output Regression: A Dictionary Approach Dimitri Bouche · Marianne Clausel · François Roueff · Florence d'Alché-Buc |