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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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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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Thu 7:30 |
Latent variable modeling with random features Gregory Gundersen · Michael Zhang · Barbara Engelhardt |
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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 |
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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Wed 12:45 |
Automatic Differentiation Variational Inference with Mixtures Warren Morningstar · Sharad Vikram · Cusuh Ham · Andrew Gallagher · Joshua Dillon |
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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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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 12:45 |
Geometrically Enriched Latent Spaces Georgios Arvanitidis · Soren Hauberg · Bernhard Schölkopf |
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Poster
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Tue 14:00 |
Learning GPLVM with arbitrary kernels using the unscented transformation Daniel Augusto de Souza · Diego Mesquita · João Paulo Gomes · César Lincoln Mattos |
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Poster
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Thu 7:30 |
Latent Gaussian process with composite likelihoods and numerical quadrature Siddharth Ramchandran · Miika Koskinen · Harri Lähdesmäki |