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Oral
Thu Jul 22 10:00 AM -- 10:20 AM (KST)
RATT: Leveraging Unlabeled Data to Guarantee Generalization
In Learning Theory 10
Saurabh Garg · Sivaraman Balakrishnan · Zico Kolter · Zachary Lipton
[ Paper ]
Spotlight
Thu Jul 22 10:20 AM -- 10:25 AM (KST)
Approximation Theory of Convolutional Architectures for Time Series Modelling
In Learning Theory 10
Haotian Jiang · Zhong Li · Qianxiao Li
[ Paper ]
Spotlight
Thu Jul 22 10:25 AM -- 10:30 AM (KST)
On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models
In Learning Theory 10
Peizhong Ju · Xiaojun Lin · Ness Shroff
[ Paper ]
Spotlight
Thu Jul 22 10:30 AM -- 10:35 AM (KST)
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
In Learning Theory 10
Berfin Simsek · François Ged · Arthur Jacot · Francesco Spadaro · Clement Hongler · Wulfram Gerstner · Johanni Brea
[ Paper ]
Spotlight
Thu Jul 22 10:35 AM -- 10:40 AM (KST)
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks
In Learning Theory 10
Hancheng Min · Salma Tarmoun · Rene Vidal · Enrique Mallada
[ Paper ]
Spotlight
Thu Jul 22 10:40 AM -- 10:45 AM (KST)
Relative Deviation Margin Bounds
In Learning Theory 10
Corinna Cortes · Mehryar Mohri · Ananda Theertha Suresh
[ Paper ]
Spotlight
Thu Jul 22 10:45 AM -- 10:50 AM (KST)
Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization
In Learning Theory 10
John Miller · Rohan Taori · Aditi Raghunathan · Shiori Sagawa · Pang Wei Koh · Vaishaal Shankar · Percy Liang · Yair Carmon · Ludwig Schmidt
[ Paper ]
Q&A
Thu Jul 22 10:50 AM -- 10:55 AM (KST)
Q&A
In Learning Theory 10