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Oral
Fri Jun 14 03:00 AM -- 03:20 AM (KST) @ Grand Ballroom
Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem
In Deep Learning Theory
Alon Brutzkus · Amir Globerson
[ Oral] 
Oral
Fri Jun 14 03:20 AM -- 03:25 AM (KST) @ Grand Ballroom
On the Spectral Bias of Neural Networks
In Deep Learning Theory
Nasim Rahaman · Aristide Baratin · Devansh Arpit · Felix Draxler · Min Lin · Fred Hamprecht · Yoshua Bengio · Aaron Courville
[ Slides]  [ Oral] 
Oral
Fri Jun 14 03:25 AM -- 03:30 AM (KST) @ Grand Ballroom
Recursive Sketches for Modular Deep Learning
In Deep Learning Theory
Badih Ghazi · Rina Panigrahy · Joshua R. Wang
[ Slides]  [ Oral] 
Oral
Fri Jun 14 03:30 AM -- 03:35 AM (KST) @ Grand Ballroom
Zero-Shot Knowledge Distillation in Deep Networks
In Deep Learning Theory
Gaurav Kumar Nayak · Konda Reddy Mopuri · Vaisakh Shaj · Venkatesh Babu Radhakrishnan · Anirban Chakraborty
[ Slides]  [ Oral] 
Oral
Fri Jun 14 03:35 AM -- 03:40 AM (KST) @ Grand Ballroom
A Convergence Theory for Deep Learning via Over-Parameterization
In Deep Learning Theory
Zeyuan Allen-Zhu · Yuanzhi Li · Zhao Song
[ Slides]  [ Oral] 
Oral
Fri Jun 14 03:40 AM -- 04:00 AM (KST) @ Grand Ballroom
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks
In Deep Learning Theory
Umut Simsekli · Levent Sagun · Mert Gurbuzbalaban
[ Oral] 
Oral
Fri Jun 14 04:00 AM -- 04:05 AM (KST) @ Grand Ballroom
Approximation and non-parametric estimation of ResNet-type convolutional neural networks
In Deep Learning Theory
Kenta Oono · Taiji Suzuki
Oral
Fri Jun 14 04:05 AM -- 04:10 AM (KST) @ Grand Ballroom
Global Convergence of Block Coordinate Descent in Deep Learning
In Deep Learning Theory
Jinshan ZENG · Tim Tsz-Kit Lau · Shaobo Lin · Yuan Yao
[ Slides]  [ Oral] 
Oral
Fri Jun 14 04:10 AM -- 04:15 AM (KST) @ Grand Ballroom
Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians
In Deep Learning Theory
Vardan Papyan
[ Slides]  [ Oral] 
Oral
Fri Jun 14 04:15 AM -- 04:20 AM (KST) @ Grand Ballroom
On the Limitations of Representing Functions on Sets
In Deep Learning Theory
Edward Wagstaff · Fabian Fuchs · Martin Engelcke · Ingmar Posner · Michael A Osborne
[ Slides]  [ Oral]