Pages that link to "Item:Q2730250"

The following pages link to Adaptive stochastic approximation by the simultaneous perturbation method (Q2730250):

Displaying 50 items.

• Algorithm portfolios for noisy optimization (Q276539) (← links)
• Newton-based stochastic optimization using \(q\)-Gaussian smoothed functional algorithms (Q472587) (← links)
• A simultaneous perturbation stochastic approximation algorithm for coupled well placement and control optimization under geologic uncertainty (Q509805) (← links)
• Quasi-Newton smoothed functional algorithms for unconstrained and constrained simulation optimization (Q523576) (← links)
• A one-measurement form of simultaneous perturbation stochastic approximation (Q674970) (← links)
• On optimization algorithms for the reservoir oil well placement problem (Q710645) (← links)
• Improved variational Bayes inference for transcript expression estimation (Q743618) (← links)
• Performance analysis of the simultaneous perturbation stochastic approximation algorithm on the noisy sphere model (Q764356) (← links)
• A combined direction stochastic approximation algorithm (Q845559) (← links)
• Simultaneous perturbation stochastic approximation of nonsmooth functions (Q877602) (← links)
• Simple and cumulative regret for continuous noisy optimization (Q905845) (← links)
• Efficient Monte Carlo computation of Fisher information matrix using prior information (Q962252) (← links)
• Bayesian evidence test for precise hypotheses (Q1410278) (← links)
• On stochastic extremum seeking via adaptive perturbation-demodulation loop (Q1626541) (← links)
• Stochastic optimization using a trust-region method and random models (Q1646570) (← links)
• Theoretical connections between optimization algorithms based on an approximate gradient (Q1663476) (← links)
• On the efficient low cost procedure for estimation of high-dimensional prediction error covariance matrices (Q1679123) (← links)
• Adaptive stochastic approximation algorithm (Q1689446) (← links)
• Variance-constrained actor-critic algorithms for discounted and average reward MDPs (Q1689603) (← links)
• Generalization of a result of Fabian on the asymptotic normality of stochastic approximation (Q1716693) (← links)
• Distributed Gauss-Newton optimization method for history matching problems with multiple best matches (Q1785159) (← links)
• Strong representation of an adaptive stochastic approximation procedure (Q1819871) (← links)
• Stochastic approximation: from statistical origin to big-data, multidisciplinary applications (Q2038304) (← links)
• An ODE method to prove the geometric convergence of adaptive stochastic algorithms (Q2074991) (← links)
• A theoretical and empirical comparison of gradient approximations in derivative-free optimization (Q2143221) (← links)
• A one-bit, comparison-based gradient estimator (Q2155805) (← links)
• Simultaneous perturbation Newton algorithms for simulation optimization (Q2260692) (← links)
• A novel technique for stochastic root-finding: enhancing the search with adaptive \(d\)-ary search (Q2293151) (← links)
• Adaptive step-size selection for state-space probabilistic differential equation solvers (Q2302456) (← links)
• Augmented state feedback for improving observability of linear systems with nonlinear measurements (Q2338189) (← links)
• An adaptive optimization scheme with satisfactory transient performance (Q2390563) (← links)
• From model-based control to data-driven control: survey, classification and perspective (Q2446442) (← links)
• A gradient method for unconstrained optimization in noisy environment (Q2637090) (← links)
• Discriminative Bayesian filtering lends momentum to the stochastic Newton method for minimizing log-convex functions (Q2693789) (← links)
• Unbiased group-wise alignment by iterative central tendency estimations (Q2786750) (← links)
• Simultaneous perturbation stochastic approximation with norm-limited update vector (Q2813999) (← links)
• New combinatorial direction stochastic approximation algorithms (Q2867404) (← links)
• SIMULATION-BASED OPTIMIZATION BY NEW STOCHASTIC APPROXIMATION ALGORITHM (Q2931725) (← links)
• Descent direction method with line search for unconstrained optimization in noisy environment (Q3458837) (← links)
• (Q4220656) (← links)
• A Scaled Stochastic Approximation Algorithm (Q4363611) (← links)
• A modified second‐order SPSA optimization algorithm for finite samples (Q4545955) (← links)
• Parameter estimation in a highly non-linear model using simultaneous perturbation stochastic approximation (Q4550622) (← links)
• ASTRO-DF: A Class of Adaptive Sampling Trust-Region Algorithms for Derivative-Free Stochastic Optimization (Q4561224) (← links)
• Application of stochastic approximation techniques in neural modelling and control (Q4809256) (← links)
• Feedback and Weighting Mechanisms for Improving Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm (Q4974596) (← links)
• Finite Difference Gradient Approximation: To Randomize or Not? (Q5057983) (← links)
• Adaptive Finite-Difference Interval Estimation for Noisy Derivative-Free Optimization (Q5095497) (← links)
• Multidimensional stochastic approximation (Q5176915) (← links)
• Parallel Simultaneous Perturbation Optimization (Q5223039) (← links)