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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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Tue 14:00 |
Learning GPLVM with arbitrary kernels using the unscented transformation Daniel Augusto Ramos Macedo Antunes de Souza · Diego Mesquita · João Paulo Gomes · César Lincoln Mattos |
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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 14:00 |
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation Mayee Chen · Benjamin Cohen-Wang · Stephen Mussmann · Frederic Sala · Christopher Re |
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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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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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Tue 18:30 |
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification Tianyi Lin · Zeyu Zheng · Elynn Chen · Marco Cuturi · Michael Jordan |
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Poster
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Tue 18:30 |
Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent Frederik Kunstner · Raunak Kumar · Mark Schmidt |
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Poster
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Wed 6:00 |
Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification Zhuo Sun · Jijie Wu · Xiaoxu Li · Wenming Yang · Jing-Hao Xue |
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Poster
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Wed 6:00 |
Causal Autoregressive Flows Ilyes Khemakhem · Ricardo Monti · Robert Leech · Aapo Hyvarinen |
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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 6:00 |
An Analysis of the Adaptation Speed of Causal Models Remi Le Priol · Reza Babanezhad · Yoshua Bengio · Simon Lacoste-Julien |