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Oral
Thu Jun 13 04:00 PM -- 04:20 PM (PDT) @ Room 102
Communication-Constrained Inference and the Role of Shared Randomness
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Slides]
Oral
Thu Jun 13 04:20 PM -- 04:25 PM (PDT) @ Room 102
Learning and Data Selection in Big Datasets
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Slides]
Oral
Thu Jun 13 04:25 PM -- 04:30 PM (PDT) @ Room 102
Sublinear quantum algorithms for training linear and kernel-based classifiers
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Slides]
Oral
Thu Jun 13 04:35 PM -- 04:40 PM (PDT) @ Room 102
Discovering Conditionally Salient Features with Statistical Guarantees
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Slides]
Oral
Thu Jun 13 04:40 PM -- 05:00 PM (PDT) @ Room 102
A Theoretical Analysis of Contrastive Unsupervised Representation Learning
Oral
Thu Jun 13 05:00 PM -- 05:05 PM (PDT) @ Room 102
The information-theoretic value of unlabeled data in semi-supervised learning
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Slides]
Oral
Thu Jun 13 05:05 PM -- 05:10 PM (PDT) @ Room 102
Unsupervised Label Noise Modeling and Loss Correction
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Slides]
Oral
Thu Jun 13 05:10 PM -- 05:15 PM (PDT) @ Room 102
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
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Slides]
Oral
Thu Jun 13 05:15 PM -- 05:20 PM (PDT) @ Room 102
Pareto Optimal Streaming Unsupervised Classification
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Slides]