Training Neural Networks with Stochastic Hessian-Free Optimization Ryan Kiros Department of Computing Science University of Alberta

Source URL: www.cs.toronto.edu

Multi-objective Optimization and Stochastic Programming Models We shall consider now various approaches to mathematical formulation of stochastic programs. Inspiration comes from multi-objective programming. SP PROBLEM

Source URL: www.karlin.mff.cuni.cz

Stochastic convex optimization Alexander Gasnikov PreMoLab MIPT, HSE, IITP RAS Abstract. We describe contemporary (optimal) methods for numerical solution of stochastic programming problems. These problems arise in

Source URL: www.hse.ru

An Optimal Control and Options Theory Approach to Forecasting and Managing Sustainable Systems Y. Shastri a , U. Diwekar b a Vishwamitra Research Institute and University of Illinois at Chicago,

Source URL: www.iemss.org

• Stochastic processes
• Stochastic
• Theoretical ecology
• Optimal control
• Mathematical and theoretical biology
• Mathematical optimization
• Control theory
• Optimal design
• Economic model
• Statistics
• Operations research
• Statistical randomness

Robust Estimation of Natural Gradient in Optimization by Regularized Linear Regression Luigi Malag` o1 and Matteo Matteucci2 1

Source URL: malago.di.unimi.it

• Econometrics
• Statistical theory
• Stochastic optimization
• Linear regression
• Fisher information
• Least squares
• Natural evolution strategy
• Stochastic gradient descent
• Variance
• Statistics
• Estimation theory
• Regression analysis

mit_ceepr_v8_7sep07_final

Source URL: web.mit.edu

• Science
• Mathematics
• Equations
• Dynamic programming
• Climate change policy
• Stochastic programming
• Economics of global warming
• Bellman equation
• Economic model
• Operations research
• Mathematical optimization
• Statistics

Uncertainty Handling in Model Selection for Support Vector Machines Tobias Glasmachers and Christian Igel Institut f¨ ur Neuroinformatik, Ruhr-Universit¨ at Bochum, Germany

Source URL: image.diku.dk

• Stochastic optimization
• Statistical classification
• CMA-ES
• Computational statistics
• Cross-validation
• Support vector machine
• Mathematical optimization
• Supervised learning
• Stability
• Statistics
• Machine learning
• Evolutionary algorithms

Insect Societies and Manufacturing Vincent A. Cicirello and Stephen F. Smith The Robotics Institute Carnegie Mellon University 5000 Forbes Avenue Pittsburgh, PA 15213

Source URL: www.agent.ai

• Mathematics
• Ant colony optimization algorithms
• Stochastic optimization
• Systems theory
• Hymenoptera
• Cybernetics
• Swarm intelligence
• Artificial Ants
• Swarm behaviour
• Science
• Applied mathematics
• Multi-agent systems

Estimating PageRank on Graph Streams ATISH DAS SARMA, Georgia Institute of Technology SREENIVAS GOLLAPUDI and RINA PANIGRAHY, Microsoft Research This article focuses on computations on large graphs (e.g., the web-graph)

Source URL: www.cs.dartmouth.edu

• Network theory
• Link analysis
• Stochastic processes
• PageRank
• Search engine optimization
• Random walk
• Connectivity
• Shortest path problem
• Randomized algorithm
• Theoretical computer science
• Graph theory
• Mathematics

Q IWA Publishing 2008 Journal of Hydroinformatics | 10.3 | Honey-bee mating optimization (HBMO) algorithm in deriving optimal operation rules for reservoirs

Source URL: www.iwaponline.com

• Operations research
• Cybernetics
• Ant colony optimization algorithms
• Stochastic optimization
• Linear programming
• Genetic algorithm
• Algorithm
• Search algorithm
• Travelling salesman problem
• Mathematics
• Applied mathematics
• Mathematical optimization