Search abstracts

Filter by Keyword:

53 Results

<<   <   Page 1 of 5   >   >>
Talk
Mon 21:06 An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis
Yuandong Tian
Poster
Tue 1:30 An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis
Yuandong Tian
Oral
Thu 8:30 Max-Mahalanobis Linear Discriminant Analysis Networks
Tianyu Pang · Chao Du · Jun Zhu
Poster
Thu 9:15 Max-Mahalanobis Linear Discriminant Analysis Networks
Tianyu Pang · Chao Du · Jun Zhu
Oral
Tue 14:35 Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks
Sanjeev Arora · Simon Du · Wei Hu · Zhiyuan Li · Ruosong Wang
Poster
Tue 18:30 Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks
Sanjeev Arora · Simon Du · Wei Hu · Zhiyuan Li · Ruosong Wang
Oral
Thu 11:40 A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks
Umut Simsekli · Levent Sagun · Mert Gurbuzbalaban
Poster
Thu 18:30 Geometric Scattering for Graph Data Analysis
Feng Gao · Guy Wolf · Matthew Hirn
Poster
Thu 18:30 A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks
Umut Simsekli · Levent Sagun · Mert Gurbuzbalaban
Poster
Tue 7:00 The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application
Wenpin Tang · Xin Guo · Fengmin Tang
Poster
Tue 7:00 Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis
Yusuke Tsuzuku · Issei Sato · Masashi Sugiyama
Poster
Tue 9:00 Low-loss connection of weight vectors: distribution-based approaches
Ivan Anokhin · Dmitry Yarotsky