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Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
Our analysis is grounded in a novel parametric form of the neural network and an innovative connection between score matching and regression analysis, facilitating the application of advanced statistical and optimization techniques.
Policy Gradient Converges to the Globally Optimal Policy for Nearly Linear-Quadratic Regulators
Nonlinear control systems with partial information to the decision maker are prevalent in a variety of applications.
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