Anon: Extrapolating Adaptivity Beyond SGD and Adam
cs.AI, cs.LG
Submitted: 2026-05-04
Updated: 2026-09-23
Code: https://github.com/juntang-zhuang/Adabelief-Optimizerhttps:
Project page: http://skylion007.github.io/OpenWebTextCorpus
Terminology
Sources
- Adam: A Method for Stochastic Optimization
- Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
- On the Variance of the Adaptive Learning Rate and Beyond
- SGDR: Stochastic Gradient Descent with Warm Restarts
- Decoupled Weight Decay Regularization
- Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks
- Adaptive Gradient Methods with Dynamic Bound of Learning Rate
- On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
- Adaptive Bound Optimization for Online Convex Optimization
- Symbolic Discovery of Optimization Algorithms
- Generating Sequences With Recurrent Neural Networks
- On the Convergence of Adam and Beyond
- LLaMA: Open and Efficient Foundation Language Models
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