This article deals with nonconvex stochastic optimization problems in deep learning. Appropriate learning rates, based on theory, for adaptive-learning-rate optimization algorithms (e.g., Adam and ...

This provides the code, data, and experiments for article "A Zeroth-order Adaptive Learning Rate Method to Reduce Cost of Hyperparameters Tuning for Deep Learning", which has been submitted to journal ...

The learning rate warmup heuristic achieves remarkable success in stabilizing training, accelerating convergence and improving generalization for adaptive stochastic optimization algorithms like ...

Traditional adaptive optimization techniques often require careful tuning of problem-specific hyperparameters, especially the parameter β2, to ensure convergence, which can be challenging and ...

Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum. This work has been accepted as ICML2022 Oral (Acceptance Rate ~ 2%) . In this work, we design a novel adaptive ...

2.4 Proximal policy optimization. Proximal policy optimization (PPO) ... The learning rates refer to three different learning rates: The actor network, the Q-value network, ... Keywords: attitude ...

Adaptive Education. Markets And Markets estimates that the global market for adaptive learning products will reach $5.3 billion by 2025.Adaptive learning platforms use artificial intelligence ...

This article deals with nonconvex stochastic optimization problems in deep learning. Appropriate learning rates, based on theory, for adaptive-learning-rate optimization algorithms (e.g., Adam and ...