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Oral
Thu Jul 21 10:30 AM -- 10:50 AM (PDT) @ Room 310
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning
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Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Room 310
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
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Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Room 310
Nonparametric Embeddings of Sparse High-Order Interaction Events
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Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Room 310
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
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Thu Jul 21 11:05 AM -- 11:10 AM (PDT) @ Room 310
NOMU: Neural Optimization-based Model Uncertainty
Oral
Thu Jul 21 11:10 AM -- 11:30 AM (PDT) @ Room 310 None
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT) @ Room 310
Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning
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Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Room 310
Wide Neural Networks Forget Less Catastrophically
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Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Room 310
A Unified View on PAC-Bayes Bounds for Meta-Learning
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Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Room 310
MAML and ANIL Provably Learn Representations
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Paper PDF]
Spotlight
Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Room 310
C-MinHash: Improving Minwise Hashing with Circulant Permutation
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Paper PDF]
Spotlight
Thu Jul 21 11:55 AM -- 12:00 PM (PDT) @ Room 310
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization