Search for tag: "military ranks"
ORIE Colloquium, 2015-12-15 - Alessandro Arlotto: Finite Horizon Markov Decision Problems and a Central Limit Theorem for Total RewardAbstract: We prove a central limit theorem for a class of additive processes that arise naturally in the theory of finite horizon Markov decision problems. The main theorem generalizes a…
From E. Cornelius
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ORIE Colloquium on 3/10/2015 - Yudong Chen: Robust Low-rank Estimation: Statistical and Computational ChallengesMany problems in data analytics can be formulated as estimating a low-rank matrix from noisy data. This task is particularly challenging in the face of uncanonical data corruption and growing size…
From E. Cornelius
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ORIE Colloquium on 4/7/2015 - William Thomas: Why Post-World War II OR Theory Developed So RapidlyThe fifteen years following World War II saw the development of a wide range of theories of decision making and resource allocation. Notable fields arising from slim foundations included: sequential…
From E. Cornelius
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ORIE 9000 Colloquium - Madeleine Udell: Generalized Low Rank ModelsPrincipal components analysis (PCA) is a well-known technique for approximating a data set represented by a matrix by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data sets…
From E. Cornelius
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ORIE Colloquium, 2015-01-26 - Damek Davis: The Design and Analysis of Large-scale Operator-splitting SchemesContinuous optimization is a key component of modern data analysis. Recently, the demands of extremely large-scale applications have shifted the focus from high cost, high accuracy methods to low…
From E. Cornelius
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CAM Colloquium - Pierre-Emmanuel Jabin: An introduction to mean field limits for many particle systemsLarge systems of interacting particles are very complex but also interplay with a large set of applications, from cosmology to the biosciences. Particles can actually represent a wide range of…
From E. Cornelius
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ORIE Colloquium on 2/6/2014 - Po-Ling Loh (Cal-Berkeley): Nonconvex Methods for High-Dimensional Regression with Noisy and Missing DataThursday, February 6, 2014 at 4:15pm Frank H. T. Rhodes Hall, 253 ORIE Colloquium: Po-Ling Loh (Cal-Berkeley) - Nonconvex Methods for High-Dimensional Regression with Noisy and Missing Data Noisy…
From E. Cornelius
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ORIE Colloquium on 12/2/2014 - Linwei (Lawrence) Xin: New Approaches to Inventory Control: Algorithms and AsymptoticsAbstract In today's data-intense and complex business environment, inventory managers face the massive challenge of simultaneously optimizing millions of products' inventories. Due to the…
From E. Cornelius
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ORIE Colloquium, 2014-12-15 - Daniela Saban: Procurement Mechanisms for Differentiated ProductsWe consider the problem faced by a procurement agency that runs an auction-type mechanism to construct a menu (assortment of products with posted prices), from a set of differentiated products…
From E. Cornelius
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ORIE Colloquium, 2013-02-26 - Marco Molinaro: Incomplete Information and Large Dimensionality in Decision MakingORIE Colloquium: Marco Molinaro (Carnegie Mellon) - Incomplete Information and Large Dimensionality in Decision Making Tuesday, February 26, 2013 at 4:15pm Frank H. T. Rhodes Hall, 253 This talk…
From E. Cornelius
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ORIE Colloquium, 2013-02-14 - Yehua Wei: Understanding the Effectiveness of Sparse Process FlexibilityORIE Colloquium: Yehua Wei (MIT) - Understanding the Effectivness of Sparse Process Flexibility Thursday, February 14, 2013 at 3:00pm Frank H. T. Rhodes Hall, 253 The seminal paper of Jordan and…
From E. Cornelius
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ORIE Colloquium, 2013-02-05 - Guy Lebanon: Stochastic m-Estimators and the Tradeoff Between Statistical Accuracy and Computational ComplexityORIE Colloquium: Guy Lebanon (Georgia Tech) - Stochastic m-Estimators and the Tradeoff Between Statistical Accuracy and Computational Complexity Tuesday, February 5, 2013 at 4:15pm Frank H. T.…
From E. Cornelius
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CAM Colloquium 2013-02-08, Dennis AmelunxenCAM Colloquium: Dennis Amelunxen (Cornell) - Phase Transitions in Convex Geometry and Optimization Friday, February 8, 2013 at 3:45pm Frank H. T. Rhodes Hall, 253 Convex optimization provides a…
From E. Cornelius
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