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33 Results
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Poster
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Tue 18:30 |
On the Model Shrinkage Effect of Gamma Process Edge Partition Models Iku Ohama · Issei Sato · Takuya Kida · Hiroki Arimura |
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Poster
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Mon 18:30 |
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes Jianshu Chen · Chong Wang · Lin Xiao · Ji He · Lihong Li · Li Deng |
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Poster
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Tue 18:30 |
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms Marco Cusumano-Towner · Vikash Mansinghka |
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Oral
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Wed 10:35 |
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models George Tucker · Andriy Mnih · Chris J Maddison · John Lawson · Jascha Sohl-Dickstein |
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Poster
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Mon 18:30 |
A Bayesian Data Augmentation Approach for Learning Deep Models Toan Tran · Trung Pham · Gustavo Carneiro · Lyle Palmer · Ian Reid |
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Poster
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Mon 18:30 |
Z-Forcing: Training Stochastic Recurrent Networks Anirudh Goyal · Alessandro Sordoni · Marc-Alexandre Côté · Nan Rosemary Ke · Yoshua Bengio |
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Poster
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Mon 18:30 |
Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data Stéphanie ALLASSONNIERE · Juliette Chevallier · Stephane Oudard |
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Poster
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Wed 18:30 |
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models George Tucker · Andriy Mnih · Chris J Maddison · John Lawson · Jascha Sohl-Dickstein |
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Poster
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Wed 18:30 |
Experimental Design for Learning Causal Graphs with Latent Variables Murat Kocaoglu · Karthikeyan Shanmugam · Elias Bareinboim |