Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple.

Synergizing derivative-free optimization via model-free RL and gradient calculation via implicit function differentiation can create new avenues for scalable and efficient solution of bilevel problems ...

Until now, hardware architectures for Ising machines could efficiently solve problems with quadratic polynomial objective functions but were not scalable to increasingly relevant higher-order problems ...

In this letter, we propose a bio-inspired derivative-free optimization algorithm capable of minimizing objective functions with vanishing or exploding gradients. The proposed method searches for ...

Younger330 changed the title one of the variables needed for gradient computation has been modified by an inplace operation [bug] one of the variables needed for gradient computation has been modified ...