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