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Friday, January 26, 2018Hoda Bidkhori  Analyzing Process Flexibility Using Robust Optimization: UC Berkeley IEORSeminar  January 26  4 p.m.  4193 Etcheverry Hall Hoda Bidkhori, UC Berkeley IEOR Industrial Engineering & Operations Research Abstract: Process flexibility has been widely applied in many industries as a competitive strategy to improve responsiveness to demand uncertainty. The first part of the talk addresses the problem of managing process flexibility in a fairly general manufacturing system. In our model, each plant might have a different cost for adding flexibility or extra capacity. We model this problem as an... More > Monday, January 29, 2018Laurent El Ghaoui Lifted Neural Nets: Beyond The Grip Of Stochastic Gradients In Deep LearningSeminar: Distinguished Lecture Series  January 29  3:305 p.m.  3108 Etcheverry Hall Laurent El Ghaoui, UC Berkeley IEOR Industrial Engineering & Operations Research Abstract: We describe a novel family of models of multilayer feedforward neural networks, where the activation functions are encoded via penalties in the training problem. The new framework allows for algorithms such as blockcoordinate descent methods to be applied, in which each step is composed of simple (no hidden layer) supervised learning problems that are parallelizable across layers, or... More > Monday, February 5, 2018Wenpin Tang  Optimal Surviving Strategy For The Up The River ProblemSeminar: Distinguished Lecture Series  February 5  3:305 p.m.  3108 Etcheverry Hall Wenpin Tang, UCLA Industrial Engineering & Operations Research Nowadays there are more and more people living on the planet, but the available resources are very limited. So an interesting question is how to allocate the limited resources to maximize our welfare. Monday, February 12, 2018Georgina Hall  LP, SOCP, and optimizationfree approaches to sum of squares optimizationSeminar: Distinguished Lecture Series  February 12  3:305 p.m.  3108 Etcheverry Hall Georgina Hall, Princeton University Industrial Engineering & Operations Research The problem of optimizing over the cone of nonnegative polynomials is a fundamental problem in computational mathematics, with applications to polynomial optimization, control, machine learning, game theory, and combinatorics, among others. Wednesday, February 14, 2018Eric Friedlander  MeanField Methods In Large Stochastic NetworksSeminar  February 14  3:305 p.m.  540 Cory Hall Eric Friedlander, University of North Carolina  Chapel Hill Industrial Engineering & Operations Research Abstract: Analysis of largescale communication networks (e.g. ad hoc wireless networks, cloud computing systems, server networks etc.) is of great practical interest. The massive size of such networks frequently makes direct analysis intractable. Asymptotic approximations using hydrodynamic and diffusion scaling limits provide useful methods for approaching such problems. In this talk, we study... More > Friday, February 16, 2018Zeyu Zheng  TopDown Statistical ModelingSeminar  February 16  23:30 p.m.  3108 Etcheverry Hall Zeyu Zheng, Stanford University Industrial Engineering & Operations Research Abstract: In this talk, we will argue that datadriven service systems engineering should take a statistical perspective that is guided by the decisions and performance measures that are critical from a managerial perspective. We further take the view that the statistical models will often be used as inputs to simulations that will be used to drive either capacity decisions or realtime decisions... More > Wednesday, February 21, 2018Weina Wang Delay Bounds And Asymptotics In Cloud Computing SystemsSeminar: Distinguished Lecture Series  February 21  3:305 p.m.  3110 Etcheverry Hall Weina Wang, Illinois UrbanaCampaign Industrial Engineering & Operations Research With the emergence of bigdata technologies, cloud computing systems are growing rapidly in size and becoming more and more complex, making it costly to conduct experiments and simulations. Therefore, modeling computing systems and characterizing their performance analytically are more critical than ever in identifying bottlenecks, informing system design, and facilitating provisioning. Monday, February 26, 2018Barna Saha  Efficient FineGrained AlgorithmsSeminar  February 26  3:305 p.m.  3108 Etcheverry Hall Barna Saha, University of Massachusetts Amherst Industrial Engineering & Operations Research Abstract: One of the greatest successes of computational complexity theory is the classification of countless fundamental computational problems into polynomialtime and NPhard ones, two classes that are often referred to as tractable and intractable, respectively. However, this crude distinction of algorithmic efficiency is clearly insufficient when handling today's large scale of data. We need... More > Monday, April 2, 2018Agostino Capponi  Columbia UniversitySeminar: Distinguished Lecture Series  April 2  3:305 p.m.  3108 Etcheverry Hall Agostino Capponi, Columbia University Industrial Engineering & Operations Research Agostino Capponi joined Columbia University's IEOR Department in August 2014, where he is also a member of the Institute for Data Science and Engineering. Monday, April 30, 2018Avraham Shtub TechnionSeminar: Distinguished Lecture Series  April 30  3:305 p.m.  3108 Etcheverry Hall Avraham Shtub, Technion Industrial Engineering & Operations Research Professor Avraham Shtub holds the Stephen and Sharon Seiden Chair in Project Management. He was a faculty member of the department of Industrial Engineering at Tel Aviv University from 1984 to 1998 where he also served as a chairman of the department (19931996)... More > 

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