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Wed Jul 20 07:30 AM -- 07:35 AM (PDT) @ Hall F
Learning Domain Adaptive Object Detection with Probabilistic Teacher
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Wed Jul 20 07:35 AM -- 07:40 AM (PDT) @ Hall F
Adaptive Data Analysis with Correlated Observations
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Wed Jul 20 07:40 AM -- 07:45 AM (PDT) @ Hall F
Efficient PAC Learning from the Crowd with Pairwise Comparisons
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Wed Jul 20 07:45 AM -- 07:50 AM (PDT) @ Hall F
On the Statistical Benefits of Curriculum Learning
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Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Hall F
Feature and Parameter Selection in Stochastic Linear Bandits
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Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Hall F
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring
Oral
Wed Jul 20 08:00 AM -- 08:20 AM (PDT) @ Hall F
A new similarity measure for covariate shift with applications to nonparametric regression
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Wed Jul 20 08:20 AM -- 08:25 AM (PDT) @ Hall F
Contextual Bandits with Large Action Spaces: Made Practical
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Wed Jul 20 08:25 AM -- 08:30 AM (PDT) @ Hall F
Identifiability Conditions for Domain Adaptation
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Wed Jul 20 08:30 AM -- 08:35 AM (PDT) @ Hall F
Streaming Algorithms for High-Dimensional Robust Statistics
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Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Hall F
Popular decision tree algorithms are provably noise tolerant
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Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Hall F
Understanding and Improving Knowledge Graph Embedding for Entity Alignment
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Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Hall F
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
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Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Hall F
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
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Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Hall F
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond