The following pages link to (Q3997575):
Displaying 50 items.
- Efficient and fast estimation of the geometric median in Hilbert spaces with an averaged stochastic gradient algorithm (Q89452) (← links)
- Robust adaptive Metropolis algorithm with coerced acceptance rate (Q116440) (← links)
- On particle methods for parameter estimation in state-space models (Q254462) (← links)
- Sign-error adaptive filtering algorithms involving Markovian parameters (Q256310) (← links)
- Estimating the geometric median in Hilbert spaces with stochastic gradient algorithms: \(L^p\) and almost sure rates of convergence (Q268758) (← links)
- Stochastic forward-backward splitting for monotone inclusions (Q289110) (← links)
- Stopping rules for optimization algorithms based on stochastic approximation (Q289128) (← links)
- Multi-level stochastic approximation algorithms (Q292915) (← links)
- A direct search method for unconstrained quantile-based simulation optimization (Q319799) (← links)
- Information diffusion in social sensing (Q330313) (← links)
- Recursive estimators with Markovian jumps (Q360693) (← links)
- Randomized urn models revisited using stochastic approximation (Q363849) (← links)
- Nonparametric recursive quantile estimation (Q395976) (← links)
- Truncated stochastic approximation with moving bounds: convergence (Q398576) (← links)
- An online AUC formulation for binary classification (Q408053) (← links)
- System identification: regime switching, unmodeled dynamics, and binary sensors (Q419930) (← links)
- An online actor-critic algorithm with function approximation for constrained Markov decision processes (Q438776) (← links)
- Stabilization of stochastic approximation by step size adaptation (Q450652) (← links)
- A stochastic Kaczmarz algorithm for network tomography (Q462380) (← links)
- Temporally adaptive estimation of logistic classifiers on data streams (Q481919) (← links)
- A multi-step Richardson-Romberg extrapolation method for stochastic approximation (Q491176) (← links)
- Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions (Q507334) (← links)
- Approximate Bayesian recursive estimation (Q508682) (← links)
- Online model regression for nonlinear time-varying manufacturing systems (Q518306) (← links)
- Rate of convergence of truncated stochastic approximation procedures with moving bounds (Q523725) (← links)
- A nonparametric variable step-size NLMS algorithm for transversal filters (Q531664) (← links)
- Channel estimation techniques for linear precoded systems: supervised, unsupervised, and hybrid approaches (Q537258) (← links)
- Adaptive algorithms for first principal eigenvector computation (Q557636) (← links)
- Monte Carlo algorithms for optimal stopping and statistical learning (Q558680) (← links)
- Limit theorems for some adaptive MCMC algorithms with subgeometric kernels (Q605038) (← links)
- Trajectory averaging for stochastic approximation MCMC algorithms (Q605929) (← links)
- Change-point monitoring for online stochastic approximations (Q608474) (← links)
- \(\lambda \)-perceptron: an adaptive classifier for data streams (Q609177) (← links)
- Offline and online weighted least squares estimation of nonstationary power ARCH processes (Q634578) (← links)
- A computational framework for empirical Bayes inference (Q637982) (← links)
- Portfolio management without probabilities or statistics (Q666453) (← links)
- An \(l_ 2\)-stable feedback structure for nonlinear adaptive filtering and identification (Q674954) (← links)
- Convergence theorems for the Kohonen feature mapping algorithms with VLRPs (Q679276) (← links)
- Near-optimal stochastic approximation for online principal component estimation (Q681490) (← links)
- Computational intelligence: From mathematical point of view (Q701623) (← links)
- A frequentist approach to mapping under uncertainty (Q716121) (← links)
- Free energy, value, and attractors (Q764242) (← links)
- Learning across games (Q765219) (← links)
- Stochastic modelling of thermal effects on a ferromagnetic nano particle (Q785375) (← links)
- Improving SAMC using smoothing methods: Theory and applications to Bayesian model selection problems (Q834357) (← links)
- The factored policy-gradient planner (Q835832) (← links)
- Market clearing and price formation (Q844623) (← links)
- A generalized Kalman filter for fixed point approximation and efficient temporal-difference learning (Q859737) (← links)
- On the ergodicity properties of some adaptive MCMC algorithms (Q862214) (← links)
- Convergence rate and averaging of nonlinear two-time-scale stochastic approximation algo\-rithms (Q862224) (← links)
