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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 14:00 |
Dynamic Cutset Networks Chiradeep Roy · Tahrima Rahman · Hailiang Dong · Nicholas Ruozzi · Vibhav Gogate |
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Poster
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Tue 18:30 |
Learning Temporal Point Processes with Intermittent Observations Vinayak Gupta · Srikanta Bedathur · Sourangshu Bhattacharya · Abir De |
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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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Tue 14:00 |
TenIPS: Inverse Propensity Sampling for Tensor Completion Chengrun Yang · Lijun Ding · Ziyang Wu · Madeleine Udell |
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Poster
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Wed 12:45 |
Product Manifold Learning Sharon Zhang · Amit Moscovich · Amit Singer |
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Poster
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Wed 6:00 |
Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations Simone Rossi · Markus Heinonen · Edwin Bonilla · Zheyang Shen · Maurizio Filippone |
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Poster
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Thu 7:30 |
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings Qipeng Guo · Zhijing Jin · Ziyu Wang · Xipeng Qiu · Weinan Zhang · Jun Zhu · Zheng Zhang · Wipf David |
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Poster
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Wed 6:00 |
Online k-means Clustering Vincent Cohen-Addad · Benjamin Guedj · Varun Kanade · Guy Rom |
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Poster
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Tue 18:30 |
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? Chaoqi Wang · Shengyang Sun · Roger Grosse |
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Poster
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Wed 12:45 |
When MAML Can Adapt Fast and How to Assist When It Cannot Sébastien Arnold · Shariq Iqbal · Fei Sha |
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Poster
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Wed 6:00 |
Linearly Constrained Gaussian Processes with Boundary Conditions Markus Lange-Hegermann |