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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 06:00 AM -- 06:20 AM (PDT)
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 06:20 AM -- 06:25 AM (PDT)
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 06:25 AM -- 06:30 AM (PDT)
A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning
In Learning Theory 4
Abi Komanduru · Jean Honorio
[ Paper ]
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
Estimation and Quantization of Expected Persistence Diagrams
In Learning Theory 4
Vincent Divol · Theo Lacombe
[ Paper ]
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
Post-selection inference with HSIC-Lasso
In Learning Theory 4
Tobias Freidling · Benjamin Poignard · Héctor Climente-González · Makoto Yamada
[ Paper ]
Spotlight
Wed Jul 21 06:40 AM -- 06:45 AM (PDT)
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 06:45 AM -- 06:50 AM (PDT)
Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting
In Learning Theory 4
Chirag Gupta · Aaditya Ramdas
[ Paper ]
Q&A
Wed Jul 21 06:50 AM -- 06:55 AM (PDT)
Q&A
In Learning Theory 4