Co-occurring keywords · papers mentioning both
Papers
AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method
AAAI 2022
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction
ICML 2022
Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum
ICML 2022
Adversarially Robust Multi-Armed Bandit Algorithm with Variance-Dependent Regret Bounds
COLT 2022
A Stochastic Bundle Method for Interpolation
JMLR 2022
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits
ICLR 2022
MetaER-TTE: An Adaptive Meta-learning Model for En Route Travel Time Estimation
IJCAI 2022
Meta-Learning for Online Update of Recommender Systems
AAAI 2022
MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification
COLING 2022
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models
ICLR 2022
Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration
JMLR 2022
Adaptive Approximate Policy Iteration
AISTATS 2021
A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance
ICML 2021
Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling
AAAI 2021
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning
JMLR 2021
MTAdam: Automatic Balancing of Multiple Training Loss Terms
EMNLP 2021
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence
AISTATS 2021
STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization
NeurIPS 2021
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients
NeurIPS 2021
Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates
NeurIPS 2021
Adam with Bandit Sampling for Deep Learning
NeurIPS 2020
Adaptive Gradient Descent without Descent
ICML 2020
AdaScale SGD: A User-Friendly Algorithm for Distributed Training
ICML 2020
Better Full-Matrix Regret via Parameter-Free Online Learning
NeurIPS 2020
Meta-Learning with Adaptive Hyperparameters
NeurIPS 2020