Stochastic Optimization Publications

Publications in Stochastic Optimization

Explore the most influential research papers and scholarly works that have shaped Stochastic Optimization. Use the concept filter below to focus on a specific sub-area of research.

Stochastic Optimization

10K

Publications

645K

Citations

Showing yearly statistics from 2000-2026.

Page 1

	Year	Citations
Adam: A Method for Stochastic Optimization Diederik P. Kingma, Jimmy Ba UvA-DARE (University of Amsterdam) Artificial IntelligenceMathematical ProgrammingModel OptimizationMachine VisionMachine Learning	2014	84.5K
A Stochastic Approximation Method Herbert Robbins, Sutton Monro The Annals of Mathematical Statistics EngineeringStochastic OptimizationRandomized AlgorithmOptimal Experimental DesignApproximation Method	1951	9.4K
Maxmin expected utility with non-unique prior Itzhak Gilboa, David Schmeidler Journal of Mathematical Economics EngineeringStochastic OptimizationUncertainty QuantificationNon-unique PriorSequential Decision Making	1989	4.1K
Nearly unbiased variable selection under minimax concave penalty Cun‐Hui Zhang The Annals of Statistics Mathematical ProgrammingEngineeringMachine LearningUnbiased Variable SelectionMc+ Estimators	2010	3.9K
On the Convergence Properties of the EM Algorithm Changbao Wu The Annals of Statistics Em AlgorithmParameter EstimationStatistical Signal ProcessingEngineeringDensity Estimation	1983	3.3K
The expectation-maximization algorithm Todd K. Moon IEEE Signal Processing Magazine Mathematical ProgrammingEngineeringStatistical Signal ProcessingData SciencePattern Recognition	1996	3.1K
Slime mould algorithm: A new method for stochastic optimization Shimin Li, Huiling Chen, Mingjing Wang, Future Generation Computer Systems EngineeringStochastic OptimizationSimulated AnnealingOptimization ProblemMechanical Engineering	2020	2.8K
Multivariate stochastic approximation using a simultaneous perturbation gradient approximation James C. Spall IEEE Transactions on Automatic Control Numerical AnalysisSa AlgorithmNumerical ComputationEngineeringMultivariate Gradient Equation	1992	2.2K
Stochastic Estimation of the Maximum of a Regression Function J. Kiefer, J. Wolfowitz The Annals of Mathematical Statistics Parameter EstimationEngineeringStochastic EstimationStochastic OptimizationRobust Statistic	1952	2.1K
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning Eric Brochu, Vlad M. Cora, Nando de Freitas arXiv (Cornell University) Mathematical ProgrammingArtificial IntelligenceEngineeringMachine LearningBayesian Technique	2010	2.1K
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio, Nicholas Léonard, Aaron Courville arXiv (Cornell University) EngineeringMachine LearningDeep Learning ModelsRecurrent Neural NetworkSocial Sciences	2013	2K
The Divergence and Bhattacharyya Distance Measures in Signal Selection T. Kailath IRE Transactions on Communications Systems Mathematical ProgrammingNew Distance MeasureStatistical Signal ProcessingEngineeringInformation Theory	1967	1.9K

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