Differentiable Spectral Normalization for Large-Scale Ising Optimization
Differentiable Spectral Normalization, a parameterizes the spectral relaxation through a diagonal metric and maximizes the resulting lower bound via projected gradient ascent, suggesting that learning problem-specific relaxation geometry can substantially close the gap between spectral scalability and metaheuristic sol...