The following pages link to (Q4003497):
Displaying 50 items.
- Efficient and fast estimation of the geometric median in Hilbert spaces with an averaged stochastic gradient algorithm (Q89452) (← links)
- Asymptotic behavior of a modified stochastic optimization procedure in an averaging scheme (Q269152) (← links)
- Nonparametric recursive quantile estimation (Q395976) (← links)
- Stochastic recursive algorithms for optimization. Simultaneous perturbation methods (Q441138) (← links)
- Nonautonomous stochastic search in global optimization (Q453726) (← links)
- A difference stochastic optimization procedure with impulse perturbation (Q465993) (← links)
- Continuous stochastic optimization with semi-Markov switchings in the diffusion approximation scheme (Q466432) (← links)
- Adaptive algorithms for first principal eigenvector computation (Q557636) (← links)
- Recursive parameter estimation: convergence (Q623481) (← links)
- Fluctuations of a stochastic approximation procedure with diffusion perturbation (Q844374) (← links)
- A classification system for economic stochastic control models (Q853648) (← links)
- Convergence rate and averaging of nonlinear two-time-scale stochastic approximation algo\-rithms (Q862224) (← links)
- A simulation optimization method that considers uncertainty and multiple performance measures (Q872272) (← links)
- Convergence of a jump procedure in a semi-Markov environment in diffusion-approximation scheme (Q941200) (← links)
- Mitigation of the Lucas critique with stochastic control methods (Q951408) (← links)
- Fluctuations of a stochastic system under an asymptotic diffusive perturbation (Q1008339) (← links)
- Pattern search ranking and selection algorithms for mixed variable simulation-based optimization (Q1042073) (← links)
- Sharp convergence rates of stochastic approximation for degenerate roots (Q1267748) (← links)
- Optimization of computer simulation models with rare events (Q1278808) (← links)
- Stochastic gradient algorithm with random truncations (Q1278958) (← links)
- Rate of convergence of stochastic approximation procedures in a Banach space (Q1286311) (← links)
- Weak convergence rates for stochastic approximation with application to multiple targets and simulated annealing (Q1296615) (← links)
- On the asymptotic behaviour of linear learning processes with partial forgetting (Q1330971) (← links)
- Optimal load sharing in soft real-time systems using likelihood ratios (Q1335115) (← links)
- Stochastic approximation of global minimum points (Q1338378) (← links)
- Constrained optimization via stochastic approximation with a simultaneous perturbation gradient approximation (Q1360464) (← links)
- Weighted averaging and stochastic approximation (Q1367100) (← links)
- Weak convergence of recursions (Q1382553) (← links)
- Bayesian evidence test for precise hypotheses (Q1410278) (← links)
- On optimization of stochastic max-min-plus-scaling systems -- an approximation approach (Q1679068) (← links)
- General multilevel adaptations for stochastic approximation algorithms of Robbins-Monro and Polyak-Ruppert type (Q1740634) (← links)
- Randomized algorithms for stochastic approximation under arbitrary disturbances (Q1778591) (← links)
- On the almost sure asymptotic behaviour of stochastic algorithm (Q1807280) (← links)
- An almost sure central limit theorem for stochastic approximation algorithms (Q1808838) (← links)
- Stochastic approximation and its applications (Q1851214) (← links)
- Higher order representations of the Robbins--Monro process (Q1882942) (← links)
- An adaptive simulated annealing algorithm. (Q1888770) (← links)
- On the recursive parameter estimation in the general discrete time statistical model (Q1965907) (← links)
- Adaptive control of stochastic calculating processes (Q1973274) (← links)
- Asymptotic properties of dual averaging algorithm for constrained distributed stochastic optimization (Q2154832) (← links)
- Bridging the gap between constant step size stochastic gradient descent and Markov chains (Q2196224) (← links)
- Semimartingale stochastic approximation procedure and recursive estimation (Q2255959) (← links)
- Lower error bounds for the stochastic gradient descent optimization algorithm: sharp convergence rates for slowly and fast decaying learning rates (Q2303416) (← links)
- Online estimation of the asymptotic variance for averaged stochastic gradient algorithms (Q2317311) (← links)
- Quantile estimation with adaptive importance sampling (Q2380103) (← links)
- The averaged Robbins-Monro method for linear problems in a Banach space (Q2433968) (← links)
- Efficient on-line estimation of autoregressive parameters (Q2437891) (← links)
- A companion for the Kiefer-Wolfowitz-Blum stochastic approximation algorithm (Q2456019) (← links)
- Fluctuation of stochastic systems with average equilibrium point (Q2462098) (← links)
- Almost sure convergence of stochastic gradient processes with matrix step sizes (Q2489824) (← links)
