Pages that link to "Item:Q2104286"
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The following pages link to Noisy zeroth-order optimization for non-smooth saddle point problems (Q2104286):
Displaying 11 items.
- Gradient-free two-point methods for solving stochastic nonsmooth convex optimization problems with small non-random noises (Q1616222) (← links)
- A new one-point residual-feedback oracle for black-box learning and control (Q2063773) (← links)
- Zeroth-order methods for noisy Hölder-gradient functions (Q2162695) (← links)
- Zeroth-order nonconvex stochastic optimization: handling constraints, high dimensionality, and saddle points (Q2696568) (← links)
- Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods (Q4634094) (← links)
- Gradient-free methods for non-smooth convex stochastic optimization with heavy-tailed noise on convex compact (Q6060544) (← links)
- Non-smooth setting of stochastic decentralized convex optimization problem over time-varying graphs (Q6060563) (← links)
- A Zeroth-Order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization (Q6066421) (← links)
- Stochastic adversarial noise in the ``black box'' optimization problem (Q6588731) (← links)
- Accelerated zero-order SGD method for solving the black box optimization problem under ``overparametrization'' condition (Q6588732) (← links)
- The ``black-box'' optimization problem: zero-order accelerated stochastic method via kernel approximation (Q6655796) (← links)