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Oral
Fri Jun 14 08:00 AM -- 08:20 AM (KST) @ Room 102
Communication-Constrained Inference and the Role of Shared Randomness
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Slides]
Oral
Fri Jun 14 08:20 AM -- 08:25 AM (KST) @ Room 102
Learning and Data Selection in Big Datasets
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Slides]
Oral
Fri Jun 14 08:25 AM -- 08:30 AM (KST) @ Room 102
Sublinear quantum algorithms for training linear and kernel-based classifiers
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Slides]
Oral
Fri Jun 14 08:35 AM -- 08:40 AM (KST) @ Room 102
Discovering Conditionally Salient Features with Statistical Guarantees
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Slides]
Oral
Fri Jun 14 08:40 AM -- 09:00 AM (KST) @ Room 102
A Theoretical Analysis of Contrastive Unsupervised Representation Learning
Oral
Fri Jun 14 09:00 AM -- 09:05 AM (KST) @ Room 102
The information-theoretic value of unlabeled data in semi-supervised learning
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Slides]
Oral
Fri Jun 14 09:05 AM -- 09:10 AM (KST) @ Room 102
Unsupervised Label Noise Modeling and Loss Correction
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Slides]
Oral
Fri Jun 14 09:10 AM -- 09:15 AM (KST) @ Room 102
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
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Slides]
Oral
Fri Jun 14 09:15 AM -- 09:20 AM (KST) @ Room 102
Pareto Optimal Streaming Unsupervised Classification
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Slides]
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