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Poster
Thu 9:00 Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients
Artem Artemev · David Burt · Mark van der Wilk
Oral Session
Thu 7:00 Privacy 2
Q&A
Thu 6:50 Q&A
Spotlight
Wed 17:35 How Important is the Train-Validation Split in Meta-Learning?
Yu Bai · Minshuo Chen · Pan Zhou · Tuo Zhao · Jason Lee · Sham Kakade · Huan Wang · Caiming Xiong
Q&A
Wed 17:50 Q&A
Oral Session
Thu 17:00 Semisupervised and Unsupervised Learning 2
Spotlight
Tue 18:10 Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search
Vu Nguyen · Tam Le · Makoto Yamada · Michael A Osborne
Oral Session
Thu 17:00 Representation Learning 4
Oral Session
Thu 6:00 Bayesian Learning 1
Oral Session
Thu 6:00 Representation Learning 2
Q&A
Thu 17:50 Q&A
Spotlight Session
Wed 19:00 Supervised Learning 5