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Spotlight
Wed Jul 20 11:30 PM -- 11:35 PM (KST) @ Hall F
Learning Domain Adaptive Object Detection with Probabilistic Teacher
In T: Learning Theory/Domain Adaptation
Meilin Chen · Weijie Chen · Shicai Yang · Jie Song · Xinchao Wang · Lei Zhang · Yunfeng Yan · Donglian Qi · Yueting Zhuang · Di Xie · Shiliang Pu
Spotlight
Wed Jul 20 11:35 PM -- 11:40 PM (KST) @ Hall F
Adaptive Data Analysis with Correlated Observations
In T: Learning Theory/Domain Adaptation
Aryeh Kontorovich · Menachem Sadigurschi · Uri Stemmer
Spotlight
Wed Jul 20 11:40 PM -- 11:45 PM (KST) @ Hall F
Efficient PAC Learning from the Crowd with Pairwise Comparisons
In T: Learning Theory/Domain Adaptation
Shiwei Zeng · Jie Shen
Spotlight
Wed Jul 20 11:45 PM -- 11:50 PM (KST) @ Hall F
On the Statistical Benefits of Curriculum Learning
In T: Learning Theory/Domain Adaptation
Ziping Xu · Ambuj Tewari
Spotlight
Wed Jul 20 11:50 PM -- 11:55 PM (KST) @ Hall F
Feature and Parameter Selection in Stochastic Linear Bandits
In T: Learning Theory/Domain Adaptation
Ahmadreza Moradipari · Berkay Turan · Yasin Abbasi-Yadkori · Mahnoosh Alizadeh · Mohammad Ghavamzadeh
Spotlight
Wed Jul 20 11:55 PM -- 12:00 AM (KST) @ Hall F
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring
In T: Learning Theory/Domain Adaptation
Zhengquan Luo · Yunlong Wang · Zilei Wang · Zhenan Sun · Tieniu Tan
Oral
Thu Jul 21 12:00 AM -- 12:20 AM (KST) @ Hall F
A new similarity measure for covariate shift with applications to nonparametric regression
In T: Learning Theory/Domain Adaptation
Reese Pathak · Cong Ma · Martin Wainwright
Spotlight
Thu Jul 21 12:20 AM -- 12:25 AM (KST) @ Hall F
Contextual Bandits with Large Action Spaces: Made Practical
In T: Learning Theory/Domain Adaptation
Yinglun Zhu · Dylan Foster · John Langford · Paul Mineiro
Spotlight
Thu Jul 21 12:25 AM -- 12:30 AM (KST) @ Hall F
Identifiability Conditions for Domain Adaptation
In T: Learning Theory/Domain Adaptation
Ishaan Gulrajani · Tatsunori Hashimoto
Spotlight
Thu Jul 21 12:30 AM -- 12:35 AM (KST) @ Hall F
Streaming Algorithms for High-Dimensional Robust Statistics
In T: Learning Theory/Domain Adaptation
Ilias Diakonikolas · Daniel Kane · Ankit Pensia · Thanasis Pittas
Spotlight
Thu Jul 21 12:35 AM -- 12:40 AM (KST) @ Hall F
Popular decision tree algorithms are provably noise tolerant
In T: Learning Theory/Domain Adaptation
Guy Blanc · Jane Lange · Ali Malik · Li-Yang Tan
Spotlight
Thu Jul 21 12:40 AM -- 12:45 AM (KST) @ Hall F
Understanding and Improving Knowledge Graph Embedding for Entity Alignment
In T: Learning Theory/Domain Adaptation
Lingbing Guo · Qiang Zhang · Zequn Sun · Mingyang Chen · Wei Hu · Huajun Chen
Spotlight
Thu Jul 21 12:45 AM -- 12:50 AM (KST) @ Hall F
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
In T: Learning Theory/Domain Adaptation
Mayee Chen · Daniel Y Fu · Avanika Narayan · Michael Zhang · Zhao Song · Kayvon Fatahalian · Christopher Re
Spotlight
Thu Jul 21 12:50 AM -- 12:55 AM (KST) @ Hall F
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
In T: Learning Theory/Domain Adaptation
Haotian Ju · Dongyue Li · Hongyang Zhang
Spotlight
Thu Jul 21 12:55 AM -- 01:00 AM (KST) @ Hall F
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
In T: Learning Theory/Domain Adaptation
Haoxiang Wang · Bo Li · Han Zhao