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Oral
Wed Jul 21 10:00 AM -- 10:20 AM (KST)
A Wasserstein Minimax Framework for Mixed Linear Regression
In Algorithms 1
Theo Diamandis · Yonina Eldar · Alireza Fallah · Farzan Farnia · Asuman Ozdaglar
[ Paper ]
Spotlight
Wed Jul 21 10:20 AM -- 10:25 AM (KST)
Weight-covariance alignment for adversarially robust neural networks
In Algorithms 1
Panagiotis Eustratiadis · Henry Gouk · Da Li · Timothy Hospedales
[ Paper ]
Spotlight
Wed Jul 21 10:25 AM -- 10:30 AM (KST)
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
In Algorithms 1
Xue Yang · Junchi Yan · Qi Ming · Wentao Wang · xiaopeng zhang · Qi Tian
[ Paper ]
Spotlight
Wed Jul 21 10:30 AM -- 10:35 AM (KST)
Communication-Efficient Distributed SVD via Local Power Iterations
In Algorithms 1
Xiang Li · Shusen Wang · Kun Chen · Zhihua Zhang
[ Paper ]
Spotlight
Wed Jul 21 10:35 AM -- 10:40 AM (KST)
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance
In Algorithms 1
Minhui Huang · Shiqian Ma · Lifeng Lai
[ Paper ]
Spotlight
Wed Jul 21 10:40 AM -- 10:45 AM (KST)
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
In Algorithms 1
Zixin Zhong · Wang Chi Cheung · Vincent Tan
[ Paper ]
Spotlight
Wed Jul 21 10:45 AM -- 10:50 AM (KST)
Leveraging Language to Learn Program Abstractions and Search Heuristics
In Algorithms 1
Catherine Wong · Kevin Ellis · Josh Tenenbaum · Jacob Andreas
[ Paper ]
Q&A
Wed Jul 21 10:50 AM -- 10:55 AM (KST)
Q&A
In Algorithms 1