Pages that link to "Item:Q3258165"
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The following pages link to Accelerated Stochastic Approximation (Q3258165):
Displaying 46 items.
- Minimizing finite sums with the stochastic average gradient (Q517295) (← links)
- A stochastic approximation algorithm with multiplicative step size modification (Q734569) (← links)
- Sequential online subsampling for thinning experimental designs (Q830692) (← links)
- A combined direction stochastic approximation algorithm (Q845559) (← links)
- Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming (Q851872) (← links)
- Stochastic approximation - A powerful method for solving deterministic numerical problems (Q1116288) (← links)
- Solving deterministic problems by stochastic approximation (Q1123542) (← links)
- An on-line search for optimum operating conditions of noisy systems (Q1143318) (← links)
- Optimization of stochastic simulation models (Q1148796) (← links)
- Solving deterministic problems via stochastic approximation. - A simple yet powerful numerical method (Q1327192) (← links)
- Optimal load sharing in soft real-time systems using likelihood ratios (Q1335115) (← links)
- Stochastic optimization algorithms of a Bayesian design criterion for Bayesian parameter estimation of nonlinear regression models: Application in pharmacokinetics (Q1366975) (← links)
- Airborne sonar target recognition using artificial neural network. (Q1609866) (← links)
- Adaptive stochastic approximation algorithm (Q1689446) (← links)
- Calculating quantiles of noisy distribution functions using local linear regressions (Q1695539) (← links)
- A unified framework for stochastic optimization (Q1719609) (← links)
- Optimization via simulation: A review (Q1805482) (← links)
- Penalty function methods for constrained stochastic approximation (Q1845280) (← links)
- Stochastic gradient processes: A survey of convergence theory using Lyapunov second method (Q1907772) (← links)
- New stochastic approximation algorithms with adaptive step sizes (Q1926628) (← links)
- A new hybrid stochastic approximation algorithm (Q1941202) (← links)
- Accelerating mini-batch SARAH by step size rules (Q2127094) (← links)
- Optimizing cluster structures with inner product induced norm based dissimilarity measures: theoretical development and convergence analysis (Q2282276) (← links)
- Some convergence theorems for RM algorithm (Q2344867) (← links)
- The Wang-Landau algorithm reaches the flat histogram criterion in finite time (Q2443184) (← links)
- Versuchspläne zur stochastischen Optimierung (Q2561165) (← links)
- Designs in nonlinear regression by stochastic minimization of functionals of the mean square error matrix (Q2581667) (← links)
- A gradient method for unconstrained optimization in noisy environment (Q2637090) (← links)
- New combinatorial direction stochastic approximation algorithms (Q2867404) (← links)
- SIMULATION-BASED OPTIMIZATION BY NEW STOCHASTIC APPROXIMATION ALGORITHM (Q2931725) (← links)
- Application of stochastic approximation to the tracking of a stochastic non-linear dynamic system† (Q3213076) (← links)
- Descent direction method with line search for unconstrained optimization in noisy environment (Q3458837) (← links)
- Adaptive forgetting in recursive identification through multiple models† (Q3727846) (← links)
- Rates of convergence of semi-stochastic approximation procedures for solving stochastic optimization problems (Q3734167) (← links)
- Variations of the robbins—monro procedure for estimating ED<i>(p)</i>in the logit model (Q4171471) (← links)
- Adaptive Quantile Estimation and its Application in Analysis of Biological Signals (Q4310670) (← links)
- Optimal step sizes in semi-stochastic approximation procedures. II (Q4712970) (← links)
- Monte carlo estimation for guaranteed-coverage non-normal tolerance intervals (Q4869579) (← links)
- Multidimensional stochastic approximation (Q5176915) (← links)
- (Q5332558) (← links)
- (Q5557555) (← links)
- Stochastic approximation (Q5907083) (← links)
- Stochastic approximation with nondecaying gain: Error bound and data‐driven gain‐tuning (Q6054830) (← links)
- Adaptive step size rules for stochastic optimization in large-scale learning (Q6116586) (← links)
- The generalized Robbins-Monro process and its application to psychophysical experiments for threshold estimation (Q6595389) (← links)
- Subsampled first-order optimization methods with applications in imaging (Q6606441) (← links)
