Stochastic Manhattan learning: Time-evolution operator for the ensemble dynamics

Mathematics

• Time Operator 100%
• Evolution Operator 88%
• Ensemble 72%
• Learning 66%
• Stochastic Gradient 48%
• Gradient Descent 45%
• Master Equation 44%
• Stochastic Algorithms 43%
• Learning Algorithm 43%
• Cost Function 36%
• Proportion 32%
• Closed-form 30%
• Gradient 27%
• Nonlinearity 26%
• Approximation 18%

Physics & Astronomy

• learning 79%
• operators 51%
• gradients 31%
• descent 29%
• proportion 22%
• nonlinearity 18%
• costs 18%
• expansion 15%
• approximation 12%