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Stochastic optimization
Results: 750

#	Item
341	Simplicial Label Correcting Algorithms for Continuous Stochastic Shortest Path Problems Dmitry S. Yershov Steven M. LaValle Add to Reading List Source URL: msl.cs.uiuc.edu Language: English - Date: 2013-09-10 21:22:09 Stochastic control Optimal control Dynamic programming Markov models Mathematical optimization Hamilton–Jacobi–Bellman equation Markov decision process Discretization Stochastic differential equation Statistics Mathematics Control theory
342	Learning with stochastic proximal gradient Lorenzo Rosasco ∗ DIBRIS, Universit`a di Genova Via Dodecaneso, [removed]Genova, Italy Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-10 11:28:36 Stochastic optimization Operations research Stochastic gradient descent Stochastic approximation Gradient descent Gradient method Subgradient method Convex optimization Numerical analysis Mathematical optimization Mathematical analysis
343	Preprint ANL/MCS-P4030[removed]AN AUGMENTED INCOMPLETE FACTORIZATION APPROACH FOR COMPUTING THE SCHUR COMPLEMENT IN STOCHASTIC OPTIMIZATION § ¨ Add to Reading List Source URL: www.mcs.anl.gov Language: English - Date: 2014-01-24 16:17:33 Operations research Numerical analysis Numerical linear algebra Linear programming Schur complement method Matrix Preconditioner Schur complement Relaxation Mathematics Mathematical optimization Algebra
344	Analyzing Feature Generation for Value-Function Approximation Ronald Parr Christopher Painter-Wakefield Department of Computer Science, Duke University, Durham, NC[removed]USA Lihong Li Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2007-04-23 20:09:21 Mathematical optimization Dynamic programming Stochastic control Equations Numerical analysis Automatic basis function construction Reinforcement learning Proto-value functions Bellman equation Statistics Mathematics Mathematical analysis
345	Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods Jascha Sohl-Dickstein, Ben Poole, Surya Ganguli Stanford University {jascha,benpoole,sganguli}@stanford.edu Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-13 10:45:07 Stochastic optimization Quasi-Newton method Gradient descent Stochastic gradient descent BFGS method Limited-memory BFGS Stochastic approximation Hessian matrix Perceptron Numerical analysis Mathematical optimization Mathematical analysis
346	engineering pipelines for learning at scale Benjamin Recht University of California, Berkeley + Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2015-02-24 16:30:13 Stochastic gradient descent Pipeline Mathematical optimization Regression analysis Statistics Statistical classification Support vector machine
347	Sample Complexity and Performance Bounds for Non-parametric Approximate Linear Programming Jason Pazis and Ronald Parr Department of Computer Science, Duke University Durham, NC 27708 {jpazis,parr}@cs.duke.edu Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2013-04-10 17:56:12 Systems theory Dynamic programming Equations Operations research Stochastic control Lipschitz continuity Optimal control S0 Markov decision process Statistics Mathematical optimization Control theory
348	mS2GD: Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting Jie Liu Lehigh University Bethlehem, PA 18015 Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-10 11:28:41 Stochastic optimization Numerical linear algebra Stochastic gradient descent Gradient method Gradient descent Stochastic approximation Mathematical optimization Random coordinate descent Coordinate descent Numerical analysis Mathematical analysis Mathematics
349	Adaptive Routing in Active Networks Giuseppe Di Fatta1,3 , Salvatore Gaglio 1,2 , Giuseppe Lo Re1 , Marco Ortolani2 1 2 Add to Reading List Source URL: www.cs.bell-labs.com Language: English Wireless networking Routing Ant colony optimization algorithms Stochastic optimization Artificial Ants ANts P2P Network congestion Ant Link-state routing protocol Network architecture Computing OSI protocols
350	Scaling up Lloyd’s algorithm: stochastic and parallel block-wise optimization perspectives Claire Monteleoni Department of Computer Science George Washington University Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-10 11:28:22 Expectation–maximization algorithm Missing data Combinatory logic Theoretical computer science Coding theory Statistics Mathematics Estimation theory

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