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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 09:00 PM -- 09:20 PM (KST)
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets
In Learning Theory 3
Ya-Ping Hsieh · Panayotis Mertikopoulos · Volkan Cevher
[ Paper ]
Spotlight
Wed Jul 21 09:20 PM -- 09:25 PM (KST)
Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph
In Learning Theory 3
Gen Li · Yuantao Gu
[ Paper ]
Spotlight
Wed Jul 21 09:25 PM -- 09:30 PM (KST)
Approximating a Distribution Using Weight Queries
In Learning Theory 3
Nadav Barak · Sivan Sabato
[ Paper ]
Spotlight
Wed Jul 21 09:30 PM -- 09:35 PM (KST)
Estimating $\alpha$-Rank from A Few Entries with Low Rank Matrix Completion
In Learning Theory 3
Yali Du · Xue Yan · Xu Chen · Jun Wang · Haifeng Zhang
[ Paper ]
Spotlight
Wed Jul 21 09:35 PM -- 09:40 PM (KST)
Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing
In Learning Theory 3
Yuan Deng · Sébastien Lahaie · Vahab Mirrokni · Song Zuo
[ Paper ]
Spotlight
Wed Jul 21 09:40 PM -- 09:45 PM (KST)
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
In Learning Theory 3
Sushant Agarwal · Shahin Jabbari · Chirag Agarwal · Sohini Upadhyay · Steven Wu · Hima Lakkaraju
[ Paper ]
Spotlight
Wed Jul 21 09:45 PM -- 09:50 PM (KST)
Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed
In Learning Theory 3
Maria Refinetti · Sebastian Goldt · FLORENT KRZAKALA · Lenka Zdeborova
[ Paper ]
Q&A
Wed Jul 21 09:50 PM -- 09:55 PM (KST)
Q&A
In Learning Theory 3