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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
Jayadev Acharya · ClĂ©ment Canonne · Himanshu Tyagi
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Oral
Thu Jun 13 04:20 PM -- 04:25 PM (PDT) @ Room 102
Learning and Data Selection in Big Datasets
Hossein Shokri Ghadikolaei · Hadi Ghauch · Inst. of Technology Carlo Fischione · Mikael Skoglund
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Oral
Thu Jun 13 04:25 PM -- 04:30 PM (PDT) @ Room 102
Sublinear quantum algorithms for training linear and kernel-based classifiers
Tongyang Li · Shouvanik Chakrabarti · Xiaodi Wu
[ Slides
Oral
Thu Jun 13 04:30 PM -- 04:35 PM (PDT) @ Room 102
Agnostic Federated Learning
Mehryar Mohri · Gary Sivek · Ananda Suresh
[ Slides
Oral
Thu Jun 13 04:35 PM -- 04:40 PM (PDT) @ Room 102
Discovering Conditionally Salient Features with Statistical Guarantees
Jaime Roquero Gimenez · James Zou
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Oral
Thu Jun 13 04:40 PM -- 05:00 PM (PDT) @ Room 102
A Theoretical Analysis of Contrastive Unsupervised Representation Learning
Nikunj Umesh Saunshi · Orestis Plevrakis · Sanjeev Arora · Mikhail Khodak · Hrishikesh Khandeparkar
Oral
Thu Jun 13 05:00 PM -- 05:05 PM (PDT) @ Room 102
The information-theoretic value of unlabeled data in semi-supervised learning
Alexander Golovnev · David Pal · Balazs Szorenyi
[ Slides
Oral
Thu Jun 13 05:05 PM -- 05:10 PM (PDT) @ Room 102
Unsupervised Label Noise Modeling and Loss Correction
Eric Arazo · Diego Ortego · Paul Albert · Noel O'Connor · Kevin McGuinness
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Oral
Thu Jun 13 05:10 PM -- 05:15 PM (PDT) @ Room 102
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
Yifan Wu · Ezra Winston · Divyansh Kaushik · Zachary Lipton
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Oral
Thu Jun 13 05:15 PM -- 05:20 PM (PDT) @ Room 102
Pareto Optimal Streaming Unsupervised Classification
Soumya Basu · Steven Gutstein · Brent Lance · Sanjay Shakkottai
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