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INFORMS Philadelphia – 2015

267

4 - Distributed Computation of Pareto Sets

Margaret Wiecek, Department of Mathematical Sciences,

Clemson University, Clemson, SC, 29634, United States of

America,

wmalgor@clemson.edu

, Brian Dandurand

The needs of multidisciplinary engineering design have motivated the

development of a distributed solution approach to computing Pareto solutions to

nonconvex decomposable multiobjective optimization problems. Existing results

on augmented Lagrangian coordination techniques and the block coordinate

descent method are extended into the multiobjective setting. These convergence

analyses lead to a MultiObjective Decomposition Algorithm (MODA) that is

applied to packaging in automotive design.

TA28

28-Room 405, Marriott

Auctions for Ad Space

Cluster: Auctions

Invited Session

Chair: Ian Kash, Microsoft Research, 21 Station Road, Cambridge,

United Kingdom,

iankash@microsoft.com

1 - General Truthfulness Characterizations via Convex Analysis

Rafael Frongillo, Postdoctoral Fellow, Harvard University,

29 Oxford Street, Cambridge, MA, United States of America,

raf@cs.berkeley.edu,

Ian Kash

We present a model of truthful elicitation which generalizes and extends

mechanisms, scoring rules, and related settings. Our main result is a

generalization of previous characterizations, including a new one for scoring rules

on non-convex sets of distributions. We generalize this model to eliciting some

property of the agent’s private information, and provide the first general result for

this setting. We also show how this yields a new proof of a result in mechanism

design due to Saks and Yu.

2 - Inefficiency and Low Revenue in GSP Auctions

Indranil Chakraborty,

indro@nus.edu.sg

In symmetric-Nash equilibrium GSP auction is efficient and generates more than

VCG revenue. The revenue ranking may fail under Nash conditions but not when

the maximum GSP revenue is considered. We let bidders to have values from

conversions instead of clicks, and assume recency effect on conversion to show

that in a broad range of situations the GSP auction is inefficient. When efficient

equilibria exist the maximum efficient equilibrium revenue in many situations is

lower than the VCG revenue.

3 - Optimising Trade-offs Among Stakeholders in Ad Auctions

David Kurokawa, PhD Student, Carnegie Mellon University,

Computer Science Department, 5000 Forbes Ave, Pittsburgh, PA,

15213, United States of America,

dkurokaw@cs.cmu.edu

,

Yoram Bachrach, Sofia Ceppi, Ian Kash, Peter Key

We examine trade-offs among stakeholders in ad auctions. Our metrics are the

revenue for the auctioneer, number of clicks for users, and welfare for advertisers.

We show how to optimize linear combinations of these utilities via a GSP auction

with a per-click reserve price. We then examine constrained optimization of these

utilities. Finally, we examine a richer setting that allow using the screen real

estate in various ways.

4 - Mechanism Design for Mixed Ads

Ian Kash, Microsoft Research, 21 Station Road, Cambridge,

United Kingdom,

iankash@microsoft.com

, Sofia Ceppi,

Reza Khani, Yoram Bachrach, Peter Key

The GSP auction works when ads are simple, but does not generalize to richer

settings. Truthful mechanisms, such as VCG do. However, a straight switch from

GSP to VCG incurs significant revenue loss. We introduce a transitional

mechanism which mitigates this revenue loss. The mechanism is equivalent to

GSP when nobody has updated their bid and is equivalent to VCG when

everybody has updated. Our mechanism is based on a technique for making

payment functions into a truthful mechanism.

TA29

29-Room 406, Marriott

Applications of Analytics I

Sponsor: Analytics

Sponsored Session

Chair: Tarun Mohan Lal, Mayo Clinic,

mohanlal.tarun@mayo.edu

1 - Analytics: A Conceptual Framework

Robert Rose, President, Optimal Decisions LLC, 4 Kirby Lane,

Franklin Park, NJ, 08823, United States of America,

optimaldecisions@mac.com

The term analytics emerged, and went viral, in November 2005. Since then, there

have been many different, and often contradictory, definitions proposed for

analytics. Questions such as whether or not analytics is a discipline, and what

type of relationship it has to disciplines such as statistics, computer science and

operations research, have been unanswered. In this talk, a framework will be

presented that explains the emergence of analytics, and logically relates it to other

disciplines.

2 - Spreadsheet Software for Linear Regression Analysis

Robert Nau, Professor, Duke University, Fuqua School of

Business, Durham, NC, 27708, United States of America,

robert.nau@duke.edu

Spreadsheet add-ins for statistical analysis vary widely in terms of their user

interfaces, the detail and design of their output, and support for best practices of

analysis. This talk will give a brief overview of some of the market-leading

products and compare their linear regression features with a free add-in, RegressIt

(http://regressit.com

), which was originally designed for teaching an advanced

elective on forecasting at Duke University and is now publicly available and

widely used.

3 - Strategic Research: Analytics Excellence

Charity Maynard, Senior Health System Engineer, Mayo Clinic,

200 First Street SW, Rochester, MN, 55905, United States of

America,

Maynard.Charity@mayo.edu

Mayo Clinic has a long rich legacy of integrating analytics, operations research

and industrial engineering in clinical care, research and education for achieving

excellence. This presentation will highlight the legacy, sophisticated

infrastructure, novel application and dissemination of learning. Key success

factors for leveraging analytics and engineering to address the formidable

challenges in health care today and tomorrow will be discussed.

4 - Analytics to Support Innovation in Outpatient Care

Delivery Processes

Tarun Mohan Lal, Mayo Clinic,

mohanlal.tarun@mayo.edu

With the growing trend and concern surrounding health care workforce

shortages, there is an increasing call for the redesign of office practices to reduce

inefficiency and improve capacity through better use of existing office staff. In this

presentation, we will discuss some innovative models of care delivery such as

increase pre-visit work, non-face face visits being implemented at Mayo Clinic

that has potential for improved operational performance and staff satisfaction.

TA30

30-Room 407, Marriott

Sports and Entertainment

Contributed Session

Chair: Stephen Hill

Assistant Professor, UNC Wilmington, 601 South College Road,

Wilmington, NC, 28403-5611, United States of America,

hills@uncw.edu

1 - Does the Number of Days between Professional Sports Games

Really Matter?

Keith Willoughby, University of Saskatchewan, 25 Campus Drive,

Saskatoon, SK, S7N 5A7, Canada,

willoughby@edwards.usask.ca

,

Trevor Hardy

In the sport of football, teams typically play at most one game during a week.

Leagues may insert “bye weeks” into the schedule for each team, thereby

permitting rest and recuperation for players. Teams may feel unfairly treated if

they have more (or less) rest than their opponents. We explored over ten years of

regular season results from the Canadian Football League to determine if the

number of days off experienced by a team between games impacts team

performance.

TA30