Pages that link to "Item:Q1061434"
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The following pages link to A Newton-Raphson version of the multivariate Robbins-Monro procedure (Q1061434):
Displaying 19 items.
- Efficient and fast estimation of the geometric median in Hilbert spaces with an averaged stochastic gradient algorithm (Q89452) (← links)
- Newton-based stochastic optimization using \(q\)-Gaussian smoothed functional algorithms (Q472587) (← links)
- Regression estimation by local polynomial fitting for multivariate data streams (Q725697) (← links)
- Non-asymptotic confidence bounds for stochastic approximation algorithms with constant step size (Q753365) (← links)
- Computing highly accurate confidence limits from discrete data using importance sampling (Q892812) (← links)
- Randomized Newton-Raphson (Q922640) (← links)
- A new sequential design based on the Robbins-Monro procedure (Q1185341) (← links)
- Stochastic approximation: from statistical origin to big-data, multidisciplinary applications (Q2038304) (← links)
- Fundamental design principles for reinforcement learning algorithms (Q2094028) (← links)
- Asymptotic properties of dual averaging algorithm for constrained distributed stochastic optimization (Q2154832) (← links)
- A gradient method for unconstrained optimization in noisy environment (Q2637090) (← links)
- Adaptive random search for continuous simulation optimization (Q3588809) (← links)
- Sequential Estimation in Stochastic Approximation Problem with Autoregressive Errors in Observations (Q4429468) (← links)
- Multidimensional stochastic approximation (Q5176915) (← links)
- Smoothed Functional Algorithms for Stochastic Optimization Using <i>q</i> -Gaussian Distributions (Q5270716) (← links)
- LSOS: Line-search second-order stochastic optimization methods for nonconvex finite sums (Q5879118) (← links)
- Efficient Robbins–Monro procedure for multivariate binary data (Q5879971) (← links)
- Stochastic approximation algorithms: overview and recent trends. (Q5955825) (← links)
- Permutation-based multiple testing corrections for \( P \)-values and confidence intervals for cluster randomized trials (Q6626900) (← links)
