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113 Results
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Workshop
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Meta-Calibration: Meta-Learning of Model Calibration Using Differentiable Expected Calibration Error |
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Spotlight
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Tue 5:20 |
Outlier-Robust Optimal Transport Debarghya Mukherjee · Aritra Guha · Justin Solomon · Yuekai Sun · Mikhail Yurochkin |
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Poster
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Tue 9:00 |
Outlier-Robust Optimal Transport Debarghya Mukherjee · Aritra Guha · Justin Solomon · Yuekai Sun · Mikhail Yurochkin |
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Spotlight
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Wed 5:45 |
Meta-learning Hyperparameter Performance Prediction with Neural Processes Ying WEI · Peilin Zhao · Junzhou Huang |
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Poster
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Wed 9:00 |
Meta-learning Hyperparameter Performance Prediction with Neural Processes Ying WEI · Peilin Zhao · Junzhou Huang |
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Poster
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Wed 21:00 |
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 |
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Poster
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Wed 21:00 |
Provable Meta-Learning of Linear Representations Nilesh Tripuraneni · Chi Jin · Michael Jordan |
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Spotlight
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Wed 18:30 |
Provable Meta-Learning of Linear Representations Nilesh Tripuraneni · Chi Jin · Michael Jordan |
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Spotlight
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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 |
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Poster
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Thu 21:00 |
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning Nikunj Umesh Saunshi · Arushi Gupta · Wei Hu |
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Spotlight
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Thu 19:25 |
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning Nikunj Umesh Saunshi · Arushi Gupta · Wei Hu |
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Poster
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Thu 9:00 |
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees Jonas Rothfuss · Vincent Fortuin · Martin Josifoski · Andreas Krause |