Results for "step optimization"

Diffusion model trained to remove noise step by step.

Optimization problems where any local minimum is global.

Optimization with multiple local minima/saddle points; typical in neural networks.

Optimization under equality/inequality constraints.

Popular optimizer combining momentum and per-parameter adaptive step sizes via first/second moment estimates.

Stepwise reasoning patterns that can improve multi-step tasks; often handled implicitly or summarized for safety/privacy.

Controls amount of noise added at each diffusion step.

Choosing step size along gradient direction.

A function measuring prediction error (and sometimes calibration), guiding gradient-based optimization.

Optimization using curvature information; often expensive at scale.

Measure of vector magnitude; used in regularization and optimization.

Visualization of optimization landscape.

Optimization under uncertainty.

Methods like Adam adjusting learning rates dynamically.

Optimizing continuous action sequences.