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

Source URL: www.ssc.wisc.edu

• 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

PHYSICAL REVIEW X 6, What is the Computational Value of Finite-Range Tunneling? Vasil S. Denchev,1,* Sergio Boixo,1,† Sergei V. Isakov,1 Nan Ding,1 Ryan Babbush,1 Vadim Smelyanskiy,1 John Martinis,2 and

Source URL: web.physics.ucsb.edu

• Quantum mechanics
• Quantum annealing
• Stochastic optimization
• Quantum chemistry
• Quantum information science
• Simulated annealing
• Instanton
• Quantum Monte Carlo
• Global optimization
• Ising model
• D-Wave Two
• Mathematical formulation of quantum mechanics

14 Stochastic Optimization Method for Analytic Continuation Andrey S. Mishchenko RIKEN Advanced Science Institute (ASI) Cross-Correlated Materials Research Group (CMRG), Wako, Japan

Source URL: www.cond-mat.de

• Estimation theory
• Inverse problems
• Linear algebra
• Tikhonov regularization
• Least squares
• Mathematical optimization
• Sobolev spaces for planar domains

Microsoft Word - BIOMA2016-Program.docx

Source URL: bioma.ijs.si

• Mathematical optimization
• Operations research
• Heuristics
• Cybernetics
• Applied mathematics
• Analysis
• Cognition
• Evolutionary algorithm
• Extremal optimization
• Global optimization
• Stochastic optimization
• Hyper-heuristic

Optimal Fiscal and Monetary Policy 1 Background • We Have Discussed the Construction and Estimation of DSGE Models

Source URL: faculty.wcas.northwestern.edu

• Economics
• Macroeconomics
• Economy
• Macroeconomic policy
• Monetary policy
• Public finance
• Macroeconomic model
• Dynamic stochastic general equilibrium
• Demand for money
• Inflation
• Mathematical optimization
• Keynesian economics

A SURVEY OF MODEL-BASED METHODS FOR GLOBAL OPTIMIZATION Thomas Bartz-Beielstein SPOTSeven Lab, TH K¨ oln, Gummersbach, Germany. spotseven.de

Source URL: bioma.ijs.si

• Mathematical optimization
• Cybernetics
• Scientific modeling
• Evolutionary algorithms
• Mathematical modeling
• Surrogate model
• Global optimization
• Genetic algorithm
• DONE
• Stochastic optimization
• Simulated annealing
• Estimation of distribution algorithm

Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCONew York, NY: ACM Nominated for Best Paper Aw

Source URL: eplex.cs.ucf.edu

• Artificial neural networks
• Applied mathematics
• Artificial intelligence
• Machine learning
• Neuroevolution
• Evolutionary algorithm
• Deep learning
• Backpropagation
• Stochastic gradient descent
• HyperNEAT
• Genetic algorithm
• Multilayer perceptron

Precision Matrix Computation via Stochastic Optimization A Scalable Computation of Regularized Precision Matrices via Stochastic Optimization Yves F. Atchad´ e

Source URL: dept.stat.lsa.umich.edu

Bayesian Learning via Stochastic Gradient Langevin Dynamics Max Welling D. Bren School of Information and Computer Science, University of California, Irvine, CA, USA Yee Whye Teh

Source URL: www.icml-2011.org

• Applied mathematics
• Statistical randomness
• Probability and statistics
• Monte Carlo methods
• Markov models
• Statistical mechanics
• Stochastic optimization
• Computational statistics
• Markov chain Monte Carlo
• Stochastic approximation
• Langevin dynamics
• Bayesian network

A Stochastic Quasi-Newton Method for Online Convex Optimization Nicol N. Schraudolph Jin Yu

Source URL: jmlr.org