Search for tag: "basic concepts in set theory"

30 - Determinants Part 2 Session 30

2009-04-03 09:07:28+00

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ORIE Colloquium on 2/3/2015 - Shipra Agrawal: Optimization and Learning for Sequential Decision Making Under Uncertainty

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ORIE 9000 Colloquium - Madeleine Udell: Generalized Low Rank Models

Principal 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…

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ORIE Colloquium, 2015-03-09 - Hamed Amini: Epidemics and Percolation in Complex Networks

In this talk, we study two different diffusion models on the random graphs. In the first part, we consider first passage percolation. We analyze the impact of the edge weights on distances in…

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ORIE Colloquium, 2015-01-26 - Damek Davis: The Design and Analysis of Large-scale Operator-splitting Schemes

Continuous 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…

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CAM Colloquium - Adrian Lewis: Nonsmooth optimization: conditioning, convergence, and semi-algebraic models

Variational analysis has come of age. Long an elegant theoretical toolkit for variational mathematics and nonsmooth optimization, it now increasingly underpins the study of algorithms, and a rich…

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ORIE Colloquium, 2014-05-05 - Suvrit Sra: Inexactness, Geometry, and Optimization: Recurrent Themes in Modern Data Analysis

Monday, May 5 3 p.m. – Presentation – 253 Rhodes Hall Suvrit Sra Inexactness, geometry, and optimization: recurrent themes in modern data analysis The current data-age is…

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ORIE Colloquium, 2014-05-02 - Philippe Rigollet: The Statistical Price to Pay for Computational Efficiency in Sparse PCA

Friday, May 2 2:20 p.m. – Presentation – 253 Rhodes Hall Philippe Rigollet The statistical price to pay for computational efficiency in sparse PCA Computational limitations of…

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ORIE Colloquium on 2/4/2014 - John Duchi: Machine Learning: a Discipline of Resource Tradeoffs

Tuesday, February 4, 2014 at 4:15pm Upson Hall, B17 ORIE Colloquium: John Duchi (UC Berkeley) - Machine Learning: a Discipline of Resource Tradeoffs Joint colloquium with Computer Science. How…

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ORIE Colloquium on 5/6/2014 - Alexander Sasha Rakhlin: Learning and Estimation: Separated at Birth, Reunited at Last

Tuesday, May 6, 2014 at 4:15 PM [.ics] 253 Rhodes Hall Alexander (Sasha) Rakhlin Assistant Professor, Department of Statistics Secondary appointment: Department of Computer & Information…

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ORIE Colloquium on 9/30/2014 - Guanghui (George) Lan, Ph.D.: “Sparse” Computation of Gradients for Optimization with Large Data Sets

Tuesday, September 30, 2014 The last few years have seen an increasing interest in utilizing optimization for large-scale data analysis. However, optimization problems arising from these…

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ORIE Colloquium on 9/2/2014 - Peter Jackson: Multi-Period Stock Allocation Using Robust Optimization

Proponents of robust optimization typically make three claims concerning the value of the robust approach. The first is that robust optimization models lead to solutions whose expected cost is close…

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ORIE Colloquium, 2014-12-19 - Nathan Kallus: From Predictive to Prescriptive Analytics

Many operational problems in data-rich environments can be characterized by three primitives: data on uncertain quantities of interest such as simultaneous demands, concurrent auxiliary data such as…

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ORIE Colloquium on 11/4/2014 - Jiheng Zhang: Managing Customer Service Chat Systems with General Service and Patience Time Distributions

We consider customer service chat systems where customers can receive real time service from agents using an instant messaging application over the Internet. A unique feature of these systems is that…

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ORIE Colloquium on 11/14/2014 - Alex Shapiro: Risk Neutral and Risk Averse Approaches to Multistage Stochastic Programming

In many practical situations one has to make decisions sequentially based on data available at the time of the decision and facing uncertainty of the future. This leads to optimization problems which…

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Ezra's Round Table/Systems Seminar on 9/12/2014- Anton Kleywegt: Multidisciplinary Value Driven Design Optimization

Multidisciplinary Design refers to design projects in which multiple teams, typically with different disciplines or expertise, design different subsystems of an overall system. Usually,…

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