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Oral
Thu Jul 22 10:00 AM -- 10:20 AM (KST)
Stability and Generalization of Stochastic Gradient Methods for Minimax Problems
In Learning Theory 11
Yunwen Lei · Zhenhuan Yang · Tianbao Yang · Yiming Ying
[ Paper ]
Spotlight
Thu Jul 22 10:20 AM -- 10:25 AM (KST)
Outside the Echo Chamber: Optimizing the Performative Risk
In Learning Theory 11
John Miller · Juan Perdomo · Tijana Zrnic
[ Paper ]
Spotlight
Thu Jul 22 10:25 AM -- 10:30 AM (KST)
Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator
In Learning Theory 11
Zeng Li · Chuanlong Xie · Qinwen Wang
[ Paper ]
Spotlight
Thu Jul 22 10:30 AM -- 10:35 AM (KST)
Provable Meta-Learning of Linear Representations
In Learning Theory 11
Nilesh Tripuraneni · Chi Jin · Michael Jordan
[ Paper ]
Spotlight
Thu Jul 22 10:35 AM -- 10:40 AM (KST)
Sample Complexity of Robust Linear Classification on Separated Data
In Learning Theory 11
Robi Bhattacharjee · Somesh Jha · Kamalika Chaudhuri
[ Paper ]
Spotlight
Thu Jul 22 10:40 AM -- 10:45 AM (KST)
The Impact of Record Linkage on Learning from Feature Partitioned Data
In Learning Theory 11
Richard Nock · Stephen J Hardy · Wilko Henecka · Hamish Ivey-Law · Jakub Nabaglo · Giorgio Patrini · Guillaume Smith · Brian Thorne
[ Paper ]
Spotlight
Thu Jul 22 10:45 AM -- 10:50 AM (KST)
Train simultaneously, generalize better: Stability of gradient-based minimax learners
In Learning Theory 11
Farzan Farnia · Asuman Ozdaglar
[ Paper ]
Q&A
Thu Jul 22 10:50 AM -- 10:55 AM (KST)
Q&A
In Learning Theory 11