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Oral
Wed Jul 21 10:00 PM -- 10:20 PM (KST)
Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins
In Learning Theory 4
Spencer Frei · Yuan Cao · Quanquan Gu
[ Paper ]
Spotlight
Wed Jul 21 10:20 PM -- 10:25 PM (KST)
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering
In Learning Theory 4
Romain COUILLET · Florent Chatelain · Nicolas Le Bihan
[ Paper ]
Spotlight
Wed Jul 21 10:25 PM -- 10:30 PM (KST)
A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning
In Learning Theory 4
Abi Komanduru · Jean Honorio
[ Paper ]
Spotlight
Wed Jul 21 10:30 PM -- 10:35 PM (KST)
Estimation and Quantization of Expected Persistence Diagrams
In Learning Theory 4
Vincent Divol · Theo Lacombe
[ Paper ]
Spotlight
Wed Jul 21 10:35 PM -- 10:40 PM (KST)
Post-selection inference with HSIC-Lasso
In Learning Theory 4
Tobias Freidling · Benjamin Poignard · Héctor Climente-González · Makoto Yamada
[ Paper ]
Spotlight
Wed Jul 21 10:40 PM -- 10:45 PM (KST)
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise
In Learning Theory 4
Difan Zou · Spencer Frei · Quanquan Gu
[ Paper ]
Spotlight
Wed Jul 21 10:45 PM -- 10:50 PM (KST)
Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting
In Learning Theory 4
Chirag Gupta · Aaditya Ramdas
[ Paper ]
Q&A
Wed Jul 21 10:50 PM -- 10:55 PM (KST)
Q&A
In Learning Theory 4