|
Poster
|
Thu 14:00
|
First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time
Yi Xu · Rong Jin · Tianbao Yang
|
|
|
Poster
|
Wed 7:45
|
Gradient Descent Meets Shift-and-Invert Preconditioning for Eigenvector Computation
Zhiqiang Xu
|
|
|
Poster
|
Wed 14:00
|
Structured Local Minima in Sparse Blind Deconvolution
Yuqian Zhang · Han-wen Kuo · John Wright
|
|
|
Poster
|
Tue 7:45
|
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
Maziar Sanjabi · Jimmy Ba · Meisam Razaviyayn · Jason Lee
|
|
|
Poster
|
Wed 14:00
|
NEON2: Finding Local Minima via First-Order Oracles
Zeyuan Allen-Zhu · Yuanzhi Li
|
|
|
Poster
|
Wed 14:00
|
On the Local Minima of the Empirical Risk
Chi Jin · Lydia T. Liu · Rong Ge · Michael Jordan
|
|
|
Poster
|
Thu 14:00
|
A Unified View of Piecewise Linear Neural Network Verification
Rudy Bunel · Ilker Turkaslan · Philip Torr · Pushmeet Kohli · Pawan K Mudigonda
|
|
|
Poster
|
Tue 7:45
|
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data
Yuanzhi Li · Yingyu Liang
|
|
|
Poster
|
Wed 14:00
|
Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced
Simon Du · Wei Hu · Jason Lee
|
|
|
Poster
|
Thu 14:00
|
Boosted Sparse and Low-Rank Tensor Regression
Jun Yu · Kun Chen · Wanwan Xu · Jiayu Zhou · Fei Wang
|
|
|
Poster
|
Wed 7:45
|
Porcupine Neural Networks: Approximating Neural Network Landscapes
Soheil Feizi · Hamid Javadi · Jesse Zhang · David Tse
|
|
|
Poster
|
Thu 7:45
|
Implicit Bias of Gradient Descent on Linear Convolutional Networks
Suriya Gunasekar · Jason Lee · Daniel Soudry · Nati Srebro
|
|
