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1803.09357
Cited By
On the Local Minima of the Empirical Risk
25 March 2018
Chi Jin
Lydia T. Liu
Rong Ge
Michael I. Jordan
FedML
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Papers citing
"On the Local Minima of the Empirical Risk"
10 / 10 papers shown
Title
Comparisons Are All You Need for Optimizing Smooth Functions
Chenyi Zhang
Tongyang Li
AAML
37
1
0
19 May 2024
Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces
Amirali Aghazadeh
Nived Rajaraman
Tony Tu
Kannan Ramchandran
27
2
0
05 Oct 2022
Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients
Hualin Zhang
Huan Xiong
Bin Gu
35
7
0
04 Oct 2022
On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks
Yizhou Liu
Weijie J. Su
Tongyang Li
41
18
0
29 Sep 2022
Tackling benign nonconvexity with smoothing and stochastic gradients
Harsh Vardhan
Sebastian U. Stich
31
8
0
18 Feb 2022
Statistical Analysis of Stationary Solutions of Coupled Nonconvex Nonsmooth Empirical Risk Minimization
Zhengling Qi
Ying Cui
Yufeng Liu
J. Pang
24
5
0
06 Oct 2019
Solving Empirical Risk Minimization in the Current Matrix Multiplication Time
Y. Lee
Zhao Song
Qiuyi Zhang
24
115
0
11 May 2019
Asymmetric Valleys: Beyond Sharp and Flat Local Minima
Haowei He
Gao Huang
Yang Yuan
ODL
MLT
28
148
0
02 Feb 2019
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning
Dong Yin
Yudong Chen
Kannan Ramchandran
Peter L. Bartlett
FedML
32
98
0
14 Jun 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
312
2,896
0
15 Sep 2016
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