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Monday, August 28, 2017Bin Yu — Three principles of data science: predictability, stability, and computabilitySeminar: Distinguished Lecture Series  August 28  3:305 p.m.  3108 Etcheverry Hall Bin Yu, Professor, UC Berkeley Departments of Statistics and EECS Industrial Engineering & Operations Research In this talk, I'd like to discuss the intertwining importance and connections of three principles of data science in the title in datadriven decisions. Making prediction as its central task and embracing computation as its core, machine learning has enabled wideranging datadriven successes. Prediction is a useful way to check with reality. Good prediction implicitly assumes stability between... More > Monday, September 11, 2017Yong Zeng — NSF Funding Opportunities Related to Data ScienceSeminar: Distinguished Lecture Series  September 11  3:305 p.m.  3108 Etcheverry Hall Yong Zeng, National Science Foundation Industrial Engineering & Operations Research This presentation will provide an overview of the funding opportunities related to data science in National Science Foundation. The funding opportunities will include those in the directorates of Computer & Information Science & Engineering (CISE), Engineering (ENG), and Mathematical and Physical Sciences (MPS), and the focus will be those supported by Division of Mathematical Sciences (DMS) in MPS. Monday, September 18, 2017Matteo Basei  The coordination of centralised and distributed generationSeminar  September 18  3:305 p.m.  3108 Etcheverry Hall Matteo Basei, UC Berkeley Industrial Engineering & Operations Research Abstract. This paper analyses the interaction between centralised carbonemissive technologies and distributed intermittent nonemissive technologies. In our model, there is a representative consumer who can satisfy her electricity demand by investing in distributed generation (solar panels) and by buying power from a centralised firm at a price the firm sets. Distributed generation is... More > Monday, September 25, 2017Adam Elmachtoub  The value of opaque productsSeminar: Distinguished Lecture Series  September 25  3:305 p.m.  3108 Etcheverry Hall Adam Elmachtoub, Columbia University Industrial Engineering & Operations Research Abstract: A product is said to be opaque if one or more of its attributes are not revealed until after the product has been sold. Opaque products have historically been used in the travel industry where airline and hotel brands might be hidden to the customer, in exchange for a discount. More recently, online retailers have also used opaque products, where customers can sacrifice their choice of... More > Monday, October 2, 2017Nick Sahinidis — ALAMO: Machine learning from data and first principlesSeminar: Distinguished Lecture Series  October 2  3:305 p.m.  3108 Etcheverry Hall Nick Sahinidis, Carnegie Mellon University Industrial Engineering & Operations Research We have developed the ALAMO methodology with the aim of producing a tool capable of using data to learn algebraic models that are accurate and as simple as possible. ALAMO relies on (a) integer nonlinear optimization to build lowcomplexity models from inputoutput data, (b) derivativefree optimization to collect additional data points Monday, October 9, 2017Peter Bartlett  Representation, optimization and generalization in deep learningSeminar  October 9  3:305 p.m.  3108 Etcheverry Hall Peter Bartlett, UC Berkeley Departments of Statistics and EECS Industrial Engineering & Operations Research Deep neural networks have improved stateoftheart performance for prediction problems across an impressive range of application areas, and they have become a central ingredient in AI systems. This talk considers factors that affect their performance, describing some recent results in two directions. First, we investigate the impact of depth on representation and optimization properties of these... More > Monday, October 16, 2017Philip Protter  Issues of Incomplete MarketsSeminar  October 16  3:305 p.m.  3108 Etcheverry Hall Philip Protter, Columbia University Industrial Engineering & Operations Research Abstract: In a complete market, there is a unique risk neutral measure, unique prices, and all contingent claims can be (at least theoretically) perfectly hedged. In an incomplete market, in contrast, there is an infinite number of risk neutral measures, a continuum of “fair” prices, and contingent claims can in general not be perfectly hedged, even theoretically. Unfortunately, there seems to be... More > Monday, November 6, 2017Bob Oliver — Fishy Predictions or Fish StewSeminar: Distinguished Lecture Series  November 6  3:305 p.m.  3108 Etcheverry Hall Bob Oliver, UC Berkeley IEOR Industrial Engineering & Operations Research Because of current federal laws on endangered fish species, water exports to California Aqueducts in San Joaquin Valley and Southern California are restricted by a combination of low Delta Smelt counts and densities in the Bay Delta and judgments by experts. This seminar suggests some ways in which Bayes’ Factors and combinations of forests of Information Odds Scores can help us improve our... More > Monday, November 20, 2017Fatma KilincKarzan — Online FirstOrder Framework for Robust Convex OptimizationColloquium  November 20  3:305 p.m.  3108 Etcheverry Hall Fatma KilincKarzan, Carnegie Mellon University Industrial Engineering & Operations Research Robust optimization (RO) has emerged as one of the leading paradigms to efficiently model parameter uncertainty. The recent connections between RO and problems in statistics and machine learning domains demand for solving RO problems in ever more larger scale. However, the traditional approaches for solving RO formulations based on building and solving robust counterparts or the iterative... More > Monday, November 27, 2017Agostino Capponi  BailIns And BailOuts: Incentives, Connectivity, And Systemic StabilitySeminar  November 27  3:305 p.m.  3108 Etcheverry Hall Agostino Capponi, Columbia University Industrial Engineering & Operations Research We develop a framework to analyze the consequences of alternative designs for interbank networks, in which a failure of one bank may lead to others. Earlier work had suggested that, provided shocks were not too large (or too correlated), denser networks were preferred to more sparsely connected networks because they were better able to absorb shocks. With large shocks, especially when systems are... More > Jon Lee — Comparing relaxations via volume for nonconvex optimizationColloquium  November 27  3:305 p.m.  3108 Etcheverry Hall Jon Lee, University of Michigan Industrial Engineering & Operations Research Abstract: Practical exact methods for global optimization of mixedinteger nonlinear optimization formulations rely on convex relaxation. Then, one way or another (via refinement and/or disjunction), global optimality is sought. Success of this paradigm depends on balancing tightness and lightness of relaxations. We will investigate this from a mathematical viewpoint, comparing polyhedral... More > 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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