Co-occurring keywords · papers mentioning both
Papers
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks
ICML 2021
AdaTune: Adaptive Tensor Program Compilation Made Efficient
NeurIPS 2020
A General System of Differential Equations to Model First-Order Adaptive Algorithms
JMLR 2020
HyperAdam: A Learnable Task-Adaptive Adam for Network Training
AAAI 2019
Local Saddle Point Optimization: A Curvature Exploitation Approach
AISTATS 2019
Memory Efficient Adaptive Optimization
NeurIPS 2019
Riemannian Adaptive Optimization Methods
ICLR 2019
Using Statistics to Automate Stochastic Optimization
NeurIPS 2019
Bandit Online Learning on Graphs via Adaptive Optimization
IJCAI 2018
Coordinate Descent with Bandit Sampling
NeurIPS 2018
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
NeurIPS 2018
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation
CVPR 2017
A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds
ALT 2017
Follow the Moving Leader in Deep Learning
ICML 2017
Adaptive Maximization of Pointwise Submodular Functions With Budget Constraint
NeurIPS 2016
Adaptive Stochastic Optimization: From Sets to Paths
NeurIPS 2015
Black-box optimization of noisy functions with unknown smoothness
NeurIPS 2015
Accelerated Coordinate Descent with Adaptive Coordinate Frequencies
ACML 2013