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Stochastic approximation
Trajectory Averaging for Stochastic Approximation MCMC Algorithms
Stochastic Approximation for the Multivariate and the Functional Median 3 It Can Not Be Updated Simply If the Data Arrive Online
Simulation Methods for Robust Risk Assessment and the Distorted Mix
An Empirical Bayes Procedure for the Selection of Gaussian Graphical Models
Stochastic Approximation of Score Functions for Gaussian Processes
Stochastic Approximation Methods and Applications in Financial Optimization Problems
Stochastic Approximation Algorithm
Stochastic Approximation: from Statistical Origin to Big-Data, Multidisciplinary Applications
On Implementation of the Markov Chain Monte Carlo Stochastic Approximation Algorithm
1 Multidimensional Stochastic Approximation: Adaptive Algorithms and Applications
Performance of a Distributed Stochastic Approximation Algorithm
Arxiv:1909.08749V2 [Stat.ML] 15 Sep 2020 Learning [Ber95a, Ber95b, SB18]
Stochastic Approximation in Monte Carlo Computation
Stochastic Optimization,” in Handbook of Computational Statistics: Concepts and Methods (2Nd Ed.) (J
Approximate Optimal Transport for Continuous Densities with Copulas
Stochastic Approximation for Canonical Correlation Analysis
2002: Confidence Regions for Stochastic Approximation
An Introduction to Stochastic Approximation
Top View
Application of Stochastic Approximation in Technical Design
Latent Tree Ensemble of Pairwise Copulas for Spatial Extremes Analysis
Stochastic Approximation for Optimal Observer Trajectory Planning
On Stochastic Approximation of the Eigenvectors and Eigenvalues of the Expectation of a Random Matrix
Approximation Algorithms for Stochastic Clustering
Stochastic Approximation in Monte Carlo Computation
Introduction to Stochastic Approximation Algorithms
Bayesian Time Series Modeling with Copula Structures
Non-Autonomous Random Dynamical Systems: Stochastic Approximation and Rate-Induced Tipping
Simulation Optimization: New Approaches to Gradient-Based Search and MLE
Stochastic Approximation: a Survey
Quasi Stochastic Approximation and Implications to Gradient-Free Optimization
A Stochastic Algorithm for Probabilistic Independent Component Analysis.” DOI:10.1214/11-AOAS499SUPP
Stochastic Approximation Approach to Stochastic Programming
A Tutorial on Stochastic Approximation
Stochastic Variational Inference
Stochastic Approximation and Newton's Estimate of a Mixing
Stochastic Approximation Based Consensus Dynamics Over Markovian Networks ∗
Stochastic Game Model of Data Clustering
Dynamics of Stochastic Approximation Algorithms Séminaire De Probabilités (Strasbourg), Tome 33 (1999), P
A Stochastic Approximation Method for Inference in Probabilistic Graphical Models
Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models
Uncertainty Quantification for Stochastic Approximation Limits Using Chaos Expansion Stéphane Crépey, Gersende Fort, Emmanuel Gobet, Uladzislau Stazhynski
Stochastic Approximation Theory
Approximation Algorithms for Stochastic Clustering
Monte Carlo Sampling-Based Methods for Stochastic Optimization
Convergence Rate of Linear Two-Time Scale Stochastic
Convergence Rates and Decoupling in Linear Stochastic Approximation
Properties of the Stochastic Approximation EM Algorithm with Mini-Batch Sampling Estelle Kuhn, Tabea Rebafka, Catherine Matias
Stochastic Approximation
General Bounds and Finite-Time Improvement for the Kiefer-Wolfowitz Stochastic Approximation Algorithm
Convergence Rate of Stochastic K-Means Arxiv:1610.04900V2 [Cs.LG] 7 Nov 2016
Stochastic Approximation for Canonical Correlation Analysis
A Stochastic Approximation Method for Approximating the Efficient Frontier of Chance-Constrained Nonlinear Programs
Convergent Stochastic Expectation Maximization Algorithm with Efficient Sampling in High Dimension. Application to Deformable Te
Ent Mcmc with a Stochastic Approximation Adaptation
Stochastic Approximation Schemes for Economic Capital and Risk Margin Computations ∗
Arxiv:1704.04289V2 [Stat.ML] 19 Jan 2018 Tic Gradient MCMC, Stochastic Differential Equations
Stochastic Approximation Algorithms: Overview and Recent Trends
Approximate Inference in Collective Graphical Models
Stochastic Optimization
Monte Carlo Approx. Methods for Stochastic Optimization
1. Akaike, H.: an Approximation to the Density Function. Ann. Inst. Statist
Stochastic Gradient Hamiltonian Monte Carlo
An Introduction to Graphical Models
A Stochastic Approximation Method Herbert Robbins
Approximation Algorithms for Stochastic Clustering∗
The Stochastic Stationary Root Model
An Efficient Framework for Optimal Robust Stochastic System Design Using Stochastic Simulation
A Discrete Parameter Stochastic Approximation Algorithm for Simulation Optimization
Computationally Efficient Bayesian Estimation of High Dimensional
Simultaneous Perturbation Stochastic Approximation for Simulation-Based Optimal Tuning of Model Predictive Control Policies
Acceleration of Stochastic Approximation in Adaptive Importance Sampling