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Stochastic optimization
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#	Item
61	Stochastic Economic Growth: An Operator-Theoretic Approach John Stachurski Submitted in fulfillment of the requirements Add to Reading List Source URL: johnstachurski.net Language: English - Date: 2016-06-19 06:01:55 Markov processes Graph theory Markov chain Stochastic processes Stochastic Mathematical optimization Mathematical model Peyton Young
62	Personalized Ad Recommendation Systems for Life-Time Value Optimization with Guarantees Georgios Theocharous Adobe Research Add to Reading List Source URL: psthomas.com Language: English - Date: 2015-05-02 18:41:02 Stochastic optimization Machine learning Belief revision Reinforcement learning Greedy algorithm Feature selection Recommender system Algorithm Multi-armed bandit Image segmentation Mathematical optimization
63	Microsoft Word - FE & Emis Opt - IEEE Journaldoc Add to Reading List Source URL: web.eecs.umich.edu Language: English - Date: 2016-04-25 13:15:15 Mathematical optimization Operations research Convex optimization Stochastic optimization Stochastic programming Control theory Duality Constraint Work Optimal control Linear programming Relaxation
64	Sebastian U. Stich MADALGO & CTIC Summer SchoolInstitute of Theoretical Computer Science Add to Reading List Source URL: sstich.ch Language: English - Date: 2011-09-05 06:18:42 Evolutionary algorithms Mathematical optimization Operations research Stochastic optimization CMA-ES Convex optimization Global optimization Gradient descent Evolution strategy Gaussian adaptation Derivative-free optimization Gradient method
65	APPLIED MATHEMATICAL PROGRAMMING USING ALGEBRAIC SYSTEMS by Bruce A. McCarl Professor of Agricultural Economics Texas A&M University Add to Reading List Source URL: agecon2.tamu.edu Language: English - Date: 2004-11-24 14:19:14 Mathematical optimization Operations research Linear programming Quadratic programming Duality Nonlinear programming Constraint Stochastic programming Integer programming Relaxation Constrained optimization Simplex algorithm
66	Learning from Demonstrations: Is It Worth Estimating a Reward Function? Bilal Piot1,2 , Matthieu Geist1 , Olivier Pietquin1,2 1 Supélec, IMS-MaLIS Research group, France Add to Reading List Source URL: www.ilhaire.eu Language: English - Date: 2013-10-03 05:33:46 Operations research Dynamic programming Stochastic control Markov processes Reinforcement learning Markov decision process Valuation Algorithm Mathematical optimization
67	Typical Properties of Winners and Losers in Discrete Optimization Rene Beier∗ Max-Planck-Institut f¨ur Informatik Saarbr¨ucken Add to Reading List Source URL: www-i1.informatik.rwth-aachen.de Language: English - Date: 2007-01-05 13:31:59 Operations research Mathematical optimization Stochastic processes Convex optimization Expected value Normal distribution Probability density function Stochastic programming Convergence of random variables
68	From Ads to Interventions: Contextual Bandits in Mobile Health Ambuj Tewari and Susan A. Murphy Abstract The first paper on contextual bandits was written by Michael Woodroofe inbut the term “contextual bandi Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2016-06-30 18:36:20 Machine learning Multi-armed bandit Stochastic optimization Reinforcement learning Pi Algorithm
69	1 On Stochastic Feedback Control for Multi-antenna Beamforming: Formulation and Low-Complexity Algorithms Sun Sun, Min Dong, and Ben Liang Add to Reading List Source URL: www.comm.utoronto.ca Language: English - Date: 2014-05-05 14:44:36 Markov processes Markov models Mathematical optimization Stochastic control Dynamic programming Markov decision process Beamforming Reinforcement learning Optimal control Markov chain Q-learning Control theory
70	Managed Communication and Consistency for Fast Data-Parallel Iterative Analytics Jinliang Wei Wei Dai Aurick Qiao Qirong Ho? Henggang Cui Gregory R. Ganger Phillip B. Gibbons† Garth A. Gibson Eric P. Xing Carnegie Mell Add to Reading List Source URL: www.pdl.cmu.edu Language: English - Date: 2016-03-07 13:00:52 Parallel computing Stochastic optimization M-estimators Convex optimization Stochastic gradient descent Consistency model Cache Parameter ML XC Bulk synchronous parallel