Monotone transports Convergence Semi-discrete evolution Continuous evolution From Brenier to Kntohe and from Knothe to

Source URL: tommi.imag.fr

• Measure theory
• Order theory
• Calculus of variations
• Transportation theory
• Monotonic function
• Convex function
• Mathematical optimization
• Cumulative distribution function

Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization Stephen H. Bach University of Maryland, College Park College Park, MD 20742

Source URL: psl.umiacs.umd.edu

• Operations research
• Mathematical optimization
• Convex optimization
• Multivariable calculus
• Linear programming
• Lagrange multiplier
• Finite element method
• Algorithm
• Interior point method

Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization Stephen H. Bach University of Maryland, College Park College Park, MD 20742

Source URL: stephenbach.net

• Operations research
• Mathematical optimization
• Convex optimization
• Multivariable calculus
• Linear programming
• Lagrange multiplier
• Finite element method
• Algorithm
• Interior point method

Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning Matthias Br¨ocheler, Lise Getoor University of Maryland, College Park College Park, MD 20742

Source URL: psl.umiacs.umd.edu

• Operations research
• Summary statistics
• Statistical models
• Convex optimization
• Linear programming
• Normal distribution
• Probability distribution
• Central limit theorem
• Expected value
• Random walk
• Stochastic process
• Standard deviation

Stochastic Imitative Game Dynamics with Committed Agents∗ William H. Sandholm† January 16, 2012 Abstract We consider models of stochastic evolution in two-strategy games in which agents

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• Probability theory
• Calculus
• Statistical theory
• Operations research
• Continuous function
• Limit of a function
• Big O in probability notation
• Limit superior and limit inferior
• Mathematical optimization
• Evolutionary game theory

Continuous Network Design Hardness and Approximation Max Klimm Combinatorial Optimization and Graph Algorithms Technische Universität Berlin

Source URL: www.maths.lse.ac.uk

h0p://www.cs.umd.edu/linqs   Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization Stephen H. Bach, Matthias Broecheler, Lise Getoor, and Dianne P. O’Leary

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Chapter 3 Benchmark Approach to Finance and Insurance This chapter introduces a unified continuous time framework for financial and insurance modeling. It is applicable to portfolio optimization, derivative pricing,

Source URL: finance.uts.edu.au

RTGDiscrete stochastic optimization with continuous auxiliary variables Rodolphe Le Riche* (speaker), Alexis Lasseigne**, François-Xavier Irisarri** * CNRS LIMOS and Ecole des Mines de St-Etienne, France ** ONERA

Source URL: grk1855.tu-dortmund.de

• Mathematical optimization
• Statistics
• Mathematical analysis
• Numerical analysis
• Stochastic optimization
• Estimation theory
• Probability theory
• Simulated annealing
• Loss function
• Bayesian optimization
• Global optimization

Production technologies in stochastic continuous time models

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• Equations
• Economics
• Mathematical optimization
• Operations research
• Dynamic programming
• Stochastic calculus
• Mathematical analysis
• Bellman equation
• Differential equation
• Economic model
• Stochastic differential equation
• SolowSwan model