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Oral
Wed Jul 21 09:00 PM -- 09:20 PM (KST)
Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free
In Learning Theory 2
Ayush Jain · Alon Orlitsky
[ Paper ]
Spotlight
Wed Jul 21 09:20 PM -- 09:25 PM (KST)
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study
In Learning Theory 2
Pierre Laforgue · Guillaume Staerman · Stephan Clémençon
[ Paper ]
Spotlight
Wed Jul 21 09:25 PM -- 09:30 PM (KST)
Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation
In Learning Theory 2
Qian Zhang · Yilin Zheng · Jean Honorio
[ Paper ]
Spotlight
Wed Jul 21 09:30 PM -- 09:35 PM (KST)
Robust Inference for High-Dimensional Linear Models via Residual Randomization
In Learning Theory 2
Y. Samuel Wang · Si Kai Lee · Panos Toulis · Mladen Kolar
[ Paper ]
Spotlight
Wed Jul 21 09:35 PM -- 09:40 PM (KST)
Don’t Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification
In Learning Theory 2
Yu Bai · Song Mei · Huan Wang · Caiming Xiong
[ Paper ]
Spotlight
Wed Jul 21 09:40 PM -- 09:45 PM (KST)
Generalization Guarantees for Neural Architecture Search with Train-Validation Split
In Learning Theory 2
Samet Oymak · Mingchen Li · Mahdi Soltanolkotabi
[ Paper ]
Spotlight
Wed Jul 21 09:45 PM -- 09:50 PM (KST)
Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations
In Learning Theory 2
Fan Zhou · Ping Li
[ Paper ]
Q&A
Wed Jul 21 09:50 PM -- 09:55 PM (KST)
Q&A
In Learning Theory 2