Pages that link to "Item:Q2397749"
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The following pages link to Random gradient-free minimization of convex functions (Q2397749):
Displaying 39 items.
- Direct Search Based on Probabilistic Descent in Reduced Spaces (Q6071887) (← links)
- An Improved Unconstrained Approach for Bilevel Optimization (Q6076870) (← links)
- Accelerated gradient methods with absolute and relative noise in the gradient (Q6087056) (← links)
- Stochastic search for a parametric cost function approximation: energy storage with rolling forecasts (Q6090164) (← links)
- Smoothing unadjusted Langevin algorithms for nonsmooth composite potential functions (Q6090288) (← links)
- A unified analysis of stochastic gradient‐free Frank–Wolfe methods (Q6092499) (← links)
- Federated learning for minimizing nonsmooth convex loss functions (Q6112869) (← links)
- Effective stabilized self-training on few-labeled graph data (Q6126682) (← links)
- Linearly convergent adjoint free solution of least squares problems by random descent (Q6141569) (← links)
- No-regret learning for repeated non-cooperative games with lossy bandits (Q6152576) (← links)
- Global optimization using random embeddings (Q6160282) (← links)
- Nonsmooth optimization by Lie bracket approximations into random directions (Q6161345) (← links)
- First-order methods for convex optimization (Q6169988) (← links)
- Quadratic regularization methods with finite-difference gradient approximations (Q6175465) (← links)
- Adaptive sampling quasi-Newton methods for zeroth-order stochastic optimization (Q6175706) (← links)
- Constrained Optimization in the Presence of Noise (Q6176426) (← links)
- Worst-case evaluation complexity of a derivative-free quadratic regularization method (Q6181370) (← links)
- Truncated Cauchy random perturbations for smoothed functional-based stochastic optimization (Q6491100) (← links)
- Coordinate descent methods beyond smoothness and separability (Q6498410) (← links)
- Convergence properties of stochastic proximal subgradient method in solving a class of composite optimization problems with cardinality regularizer (Q6536946) (← links)
- Distributed zeroth-order optimization: convergence rates that match centralized counterpart (Q6537281) (← links)
- Nonsmooth optimization over the Stiefel manifold and beyond: proximal gradient method and recent variants (Q6540011) (← links)
- Leveraging randomized smoothing for optimal control of nonsmooth dynamical systems (Q6551655) (← links)
- Stochastic trust-region and direct-search methods: a weak tail bound condition and reduced sample sizing (Q6561380) (← links)
- A Review of Adversarial Attack and Defense for Classification Methods (Q6567075) (← links)
- High probability complexity bounds for adaptive step search based on stochastic oracles (Q6573017) (← links)
- Small errors in random zeroth-order optimization are imaginary (Q6580001) (← links)
- A derivative-free nonlinear least squares solver for nonsmooth functions (Q6588730) (← links)
- Application of optimization methods in solving the problem of optimal control of assets and liabilities by a bank (Q6588749) (← links)
- Convergence guarantees for forward gradient descent in the linear regression model (Q6592792) (← links)
- First- and second-order high probability complexity bounds for trust-region methods with noisy oracles (Q6608030) (← links)
- On the global complexity of a derivative-free Levenberg-Marquardt algorithm via orthogonal spherical smoothing (Q6608067) (← links)
- Expected decrease for derivative-free algorithms using random subspaces (Q6622391) (← links)
- Zeroth-order Riemannian averaging stochastic approximation algorithms (Q6622753) (← links)
- Random gradient-free method for online distributed optimization with strongly pseudoconvex cost functions (Q6630989) (← links)
- Stochastic zeroth order descent with structured directions (Q6642789) (← links)
- Retraction-based direct search methods for derivative free Riemannian optimization (Q6644256) (← links)
- Online Statistical Inference for Stochastic Optimization via Kiefer-Wolfowitz Methods (Q6651403) (← links)
- Convergence rates for stochastic approximation: biased noise with unbounded variance, and applications (Q6655795) (← links)
