Mathematical Programming manuscript No. (will be inserted by the editor) Validation Analysis of Mirror Descent Stochastic Approximation Method Guanghui Lan · Arkadi Nemirovski · Alexander Shapiro

Source URL: www.ise.ufl.edu

Uncertainty Feature Optimization: an Implicit Paradigm for Problems with Noisy Data Niklaus Eggenberg, Transport and Mobility Laboratory, EPFL Matteo Salani, Transport and Mobility Laboratory, EPFL Michel Bierlaire, Tran

Source URL: www.strc.ch

• Mathematical optimization
• Operations research
• Mathematical analysis
• Analysis
• Applied mathematics
• Stochastic programming
• Robust optimization
• Multi-objective optimization
• Constraint
• Linear programming
• Optimization problem
• Scenario optimization

1 PASS: A Parallel Activity Search System Andrea Pugliese, V.S. Subrahmanian, Christopher Thomas, and Cristian Molinaro Abstract—Given a set A of activities expressed via temporal stochastic automata, and a set O of o

Source URL: www.cs.umd.edu

• Network theory
• Edsger W. Dijkstra
• Shortest path problem
• Dynamic programming

Formalizing and Enforcing Purpose Restrictions in Privacy Policies Michael Carl Tschantz Carnegie Mellon University Email: Anupam Datta

Source URL: www.andrew.cmu.edu

• Dynamic programming
• Markov processes
• Stochastic control
• Probability
• Auditing
• Markov decision process
• Audit
• Reinforcement learning
• Rex1
• Strategy
• Statistics

Stochastic Target Games and Dynamic Programming via Regularized Viscosity Solutions∗ Bruno Bouchard† Marcel Nutz‡

Source URL: www.math.columbia.edu

Robust Control and Model Misspecification Lars Peter Hansen Thomas J. Sargent Gauhar A. Turmuhambetova Noah Williams∗ September 26, 2005

Source URL: www.tomsargent.com

• Dynamic programming
• Statistical theory
• Stochastic control
• Hamilton–Jacobi–Bellman equation
• Optimal control
• Partial differential equation
• Kullback–Leibler divergence
• Statistics
• Mathematical analysis
• Mathematics

Formalizing and Enforcing Purpose Restrictions on Information Use Michael Carl Tschantz Carnegie Mellon University Anupam Datta

Source URL: csf2012.seas.harvard.edu

• Data privacy
• Privacy law
• Dynamic programming
• Partially observable Markov decision process
• Stochastic control
• Privacy policy
• Internet privacy
• Health Insurance Portability and Accountability Act
• Privacy
• Ethics
• Statistics
• Law

nocommit_revision_2010.dvi

Source URL: www.tomsargent.com

• Probability and statistics
• Stochastic differential equations
• Markov processes
• Dynamic programming
• Markov chain
• Lars Peter Hansen
• Bellman equation
• Filtering problem
• Kalman filter
• Statistics
• Control theory
• Markov models

Dynamic optimization: Continuous-time DSGE Olaf Posch () Summer course 2010 Course objective. This course provides a toolbox for solving continuous-time dynamic optimization problems in (stochastic) econ

Source URL: www.oposch.com

• Systems theory
• Control theory
• Equations
• Dynamic programming
• Optimal control
• Macroeconomic model
• Bellman equation
• Dynamic stochastic general equilibrium
• Stochastic
• Mathematical optimization
• Macroeconomics
• Operations research

informs Vol. 35, No. 6, November–December 2005, pp. 531–538 issn
eissn 1526-551X
05
3506
0531 ®

Source URL: www.deafrontier.net

• Applied mathematics
• Mathematics
• Stochastic programming
• Global optimization
• Stochastic optimization
• Quantitative analyst
• Linear programming
• Data envelopment analysis
• Genetic algorithm
• Operations research
• Mathematical optimization
• Science