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Stochastic optimization
Stochastic Optimization from Distributed, Streaming Data in Rate-Limited Networks Matthew Nokleby, Member, IEEE, and Waheed U
Metaheuristics1
Stochastic Optimization
Adaptive Stochastic Optimization
Conservative Stochastic Optimization with Expectation Constraints
Monte Carlo Methods for Sampling-Based Stochastic Optimization
Stochastic Optimization,” in Handbook of Computational Statistics: Concepts and Methods (2Nd Ed.) (J
Contextual Covariance Matrix Adaptation Evolutionary Strategies
Arxiv:2005.11011V2 [Quant-Ph] 11 Aug 2020 Error Is Fundamental to Measuring the Values on a Quan- Heuristics and Test Them Numerically on Example Prob- Tum Device
A Review of Simheuristics: Extending Metaheuristics to Deal with Stochastic Combinatorial Optimization Problems
Kafisto: a Kalman Filtering Framework for Stochastic Optimization
CMA-ES and Advanced Adaptation Mechanisms Youhei Akimoto, Nikolaus Hansen
A Comparative Study of PSO and CMA-ES Algorithms on Black-Box Optimization Benchmarks Paweł Szynkiewicz Research and Academic Computer Network (NASK), Warsaw, Poland
Two-Stage Stochastic Optimization for the Strategic Bidding of a Generation Company Considering Wind Power Uncertainty
Numerical Optimization with CMA-ES: from Theory to Practice and from Practice to Theory
Stochastic Gradient Descent Algorithm for Stochastic Optimization in Solving Analytic Continuation Problems
Data-Pooling in Stochastic Optimization
A Survey of Stochastic Simulation and Optimization Methods in Signal
Top View
Robust Stochastic Optimization Made Easy with RSOME
Introduction to Optimization with Stochastic Uncertainties 1 Motivation1
Optimization of Stochastic Problems with Probability Functions Via Differential Evolution Bayrammyrat Myradov Consultant Chance
A Short Introduction to Stochastic Optimization
Recent Trends in Stochastic Gradient Descent for Machine Learning and Big Data
Stochastic Optimization for Machine Learning
Variance-Reduced and Projection-Free Stochastic Optimization
A Unified Framework for Stochastic Optimization
Metaheuristic Techniques
Monte Carlo Sampling-Based Methods for Stochastic Optimization
Recent Trends in Metaheuristics for Stochastic Combinatorial Optimization
A Unified Framework for Optimization Under
Arxiv:1512.07962V3 [Stat.ML] 5 Aug 2016 Et Al., 2014)
A Review of Stochastic Programming Methods for Optimization of Process Systems Under Uncertainty Can Li 1 and Ignacio E
Probabilistic Line Searches for Stochastic Optimization
Stochastic Optimization and Sparse Statistical Recovery: Optimal Algorithms for High Dimensions
Well Control Optimization Using Derivative-Free Algorithms and a Multiscale Approach
Using Statistics to Automate Stochastic Optimization
Stochastic Optimization
Monte Carlo Approx. Methods for Stochastic Optimization
Stochastic Optimization Algorithms
Monte Carlo Methods Stéphane Paltani
Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization
An Accelerated Method for Derivative-Free Smooth Stochastic Convex Optimization∗
Optimization Under Uncertainty: State-Of-The-Art and Opportunities
Arxiv:1902.06992V4 [Math.OC] 8 Sep 2020
Stochastic Optimization and Applications with Endogenous Uncertainties Via Discrete Choice Models
Optimization Under Uncertainty
A Review of the Role of Heuristics in Stochastic Optimisation: from Metaheuristics to Learnheuristics
Momentum-Based Variance Reduction in Non-Convex SGD