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Poster
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Thu 9:00
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Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition
Shengyang Sun · Jiaxin Shi · Andrew Wilson · Roger Grosse
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Spotlight
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Thu 5:25
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Local Correlation Clustering with Asymmetric Classification Errors
Jafar Jafarov · Sanchit Kalhan · Konstantin Makarychev · Yury Makarychev
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Spotlight
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Thu 5:45
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Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition
Shengyang Sun · Jiaxin Shi · Andrew Wilson · Roger Grosse
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Poster
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Thu 9:00
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Local Correlation Clustering with Asymmetric Classification Errors
Jafar Jafarov · Sanchit Kalhan · Konstantin Makarychev · Yury Makarychev
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Poster
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Wed 9:00
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Narrow Margins: Classification, Margins and Fat Tails
Francois Buet-Golfouse
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Oral
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Tue 5:00
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Size-Invariant Graph Representations for Graph Classification Extrapolations
Beatrice Bevilacqua · Yangze Zhou · Bruno Ribeiro
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Poster
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Thu 9:00
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Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training
Kai Sheng Tai · Peter Bailis · Gregory Valiant
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Poster
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Thu 9:00
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Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
Aseem Baranwal · Kimon Fountoulakis · Aukosh Jagannath
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Spotlight
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Thu 6:40
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Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training
Kai Sheng Tai · Peter Bailis · Gregory Valiant
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Poster
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Tue 9:00
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Size-Invariant Graph Representations for Graph Classification Extrapolations
Beatrice Bevilacqua · Yangze Zhou · Bruno Ribeiro
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|
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Spotlight
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Wed 6:45
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Narrow Margins: Classification, Margins and Fat Tails
Francois Buet-Golfouse
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Spotlight
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Thu 6:35
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Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
Aseem Baranwal · Kimon Fountoulakis · Aukosh Jagannath
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