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While Reinforcement Learning (RL) approaches lead to significant achievements in a variety of areas in recent history, natural language …

We investigate the use of ellipsoidal trust region constraints for second-order optimization of neural networks. This approach can be …

Gradient-based optimization methods are the most popular choice for finding local optima for classical minimization and saddle point …