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hessian matrix
hessian matrix
33 papers
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Co-occurring keywords
neural network optimization
(1293)
gradient descent
(1144)
second-order optimization
(93)
stochastic gradient descent
(1091)
convergence rate
(607)
hessian eigenvalue
(26)
newton method
(64)
optimization landscape
(39)
adaptive algorithm
(114)
relu network
(143)
Papers
Approximate Cross-Validation with Low-Rank Data in High Dimensions
NIPS 2020
Assessing Local Generalization Capability in Deep Models
AISTATS 2020
Collaborative Channel Pruning for Deep Networks
ICML 2019
Adaptive Negative Curvature Descent with Applications in Non-convex Optimization
NIPS 2018
A Distributed Second-Order Algorithm You Can Trust
ICML 2018
When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent
NIPS 2017
Project-Out Cascaded Regression With an Application to Face Alignment
CVPR 2015
An analysis on negative curvature induced by singularity in multi-layer neural-network learning
NIPS 2010
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