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Oral
Thu Jun 13 11:00 AM -- 11:20 AM (PDT) @ 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
Thu Jun 13 11:20 AM -- 11:25 AM (PDT) @ 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
Thu Jun 13 11:25 AM -- 11:30 AM (PDT) @ Grand Ballroom
Recursive Sketches for Modular Deep Learning
In Deep Learning Theory
Badih Ghazi · Rina Panigrahy · Joshua R. Wang
[ Slides]  [ Oral] 
Oral
Thu Jun 13 11:30 AM -- 11:35 AM (PDT) @ 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
Thu Jun 13 11:35 AM -- 11:40 AM (PDT) @ 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
Thu Jun 13 11:40 AM -- 12:00 PM (PDT) @ 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
Thu Jun 13 12:00 PM -- 12:05 PM (PDT) @ Grand Ballroom
Approximation and non-parametric estimation of ResNet-type convolutional neural networks
In Deep Learning Theory
Kenta Oono · Taiji Suzuki
Oral
Thu Jun 13 12:05 PM -- 12:10 PM (PDT) @ 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
Thu Jun 13 12:10 PM -- 12:15 PM (PDT) @ 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
Thu Jun 13 12:15 PM -- 12:20 PM (PDT) @ 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]