Arpita Ghosh

Associate Professor
Dept. of Information Science
Cornell University

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I am an Associate Professor of Information Science in the School of Computing and Information Science at Cornell University. My research interest is in algorithms and mechanism design in the context of strategic behavior on the Web. I received my B.Tech from IIT Bombay in 2001, and my PhD from Stanford in 2006, with a thesis on designing well-connected networks using convex optimization. Prior to joining Cornell, I spent 6 years (2006-2012) in the Microeconomics and Social Sciences group at Yahoo! Research.

My current research focuses on incentive design for online collective effort --- developing a game-theoretic framework for user-generated content and social computing systems, and designing mechanisms for eliciting high participation and effort in crowdsourcing. I am also interested in the design of markets and mechanisms for privacy.


Teaching

Spring 2013 : Networks II

Publications


Incentives, gamification, and game theory: An economic approach to badge design
David Easley, Arpita Ghosh
To appear in : Proc. 14th ACM Conference on Electronic Commerce (EC), 2013
[abstract]


Incentivizing participation in online forums for education
Arpita Ghosh, Jon Kleinberg
To appear in : Proc. 14th ACM Conference on Electronic Commerce (EC), 2013
[abstract]


Privacy and coordination: Computing on databases with endogenous participation
Arpita Ghosh, Katrina Ligett
To appear in : Proc. 14th ACM Conference on Electronic Commerce (EC), 2013
[abstract]


Crowdsourced Judgement Elicitation with Endogenous Proficiency
Anirban Dasgupta, Arpita Ghosh
Proc. 22nd ACM International World Wide Web Conference (WWW), 2013
[abstract]


Learning and Incentives in User-Generated Content: Multi-Armed Bandits with Endogenous Arms
Arpita Ghosh, Patrick Hummel
Proceedings of the 4th Conference on Innovations in Theoretical Computer Science (ITCS), 2013.
[abstract]


To match or not to match: Economics of cookie matching in online advertising
Arpita Ghosh, Mohammad Mahdian, R. Preston McAfee, Sergei Vassilvitskii
Proc. 13th ACM Conference on Electronic Commerce (EC), 2012
[abstract]


Implementing Optimal Outcomes in Social Computing: A Game-Theoretic Approach
Arpita Ghosh, Patrick Hummel
Proc. 21st ACM International World Wide Web Conference (WWW), 2012 --- Nominated for Best Paper: Runner-up
[abstract]


Crowdsourcing with Endogenous Entry
Arpita Ghosh, Preston McAfee
Proc. 21st ACM International World Wide Web Conference (WWW), 2012
[abstract]


A Game-Theoretic Analysis of Rank-Order Mechanisms for User-Generated Content
Arpita Ghosh, Patrick Hummel
Proc. 12th ACM Conference on Electronic Commerce (EC), 2011
[abstract]


Who Moderates the Moderators? Crowdsourcing Abuse Detection in User-Generated Content
Arpita Ghosh, Satyen Kale, Preston McAfee
Proc. 12th ACM Conference on Electronic Commerce (EC), 2011
[abstract]


Selling Privacy at Auction
Arpita Ghosh, Aaron Roth
Proc. 12th ACM Conference on Electronic Commerce (EC), 2011
[abstract]


Incentivizing High-quality User-Generated Content
Arpita Ghosh, Preston McAfee
Proc. 20th ACM International World Wide Web Conference (WWW), 2011
[abstract]


A Market Clearing Solution for Social Lending
Ning Chen, Arpita Ghosh
Proc. 22nd International Joint Conference on Artificial Intelligence (IJCAI), 2011
[abstract]


Strongly Stable Assignment
Ning Chen, Arpita Ghosh
Proc. European Symposium on Algorithms (ESA), 2010
[abstract]


Truthful Assignment without Money
Shaddin Dughmi, Arpita Ghosh
Proc. 11th ACM Conference on Electronic Commerce (EC), 2010
[abstract]


Christmas Gift Exchange Games
Arpita Ghosh, Mohammad Mahdian
Proc. Fifth International Conference on Fun With Algorithms (FUN), 2010
[abstract]


Expressive Auctions for Externalities in Online Advertising
Arpita Ghosh, Amin Sayedi
Proc. 19th ACM International World Wide Web Conference (WWW), 2010
[abstract]


Social Lending
Ning Chen, Arpita Ghosh, Nicolas Lambert
Proc. 10th ACM Conference on Electronic Commerce (EC), 2009
[abstract]


Universally Utility-Maximizing Privacy Mechanisms
Arpita Ghosh, Tim Roughgarden, Mukund Sundararajan
Proc. ACM Symposium on Theory of Computer Science (STOC), 2009
[abstract]


Bidding for Representative Allocations for Display Advertising
Arpita Ghosh, Preston McAfee, Kishore Papineni, Sergei Vassilvitskii
Proc. 5th International Workshop on Internet and Network Economics (WINE), 2009
[abstract]


Adaptive bidding for display advertising
Arpita Ghosh, Benjamin Rubenstein, Sergei Vassilvitskii, Martin Zinkevich
Proc. 18th ACM International World Wide Web Conference (WWW), 2009
[abstract]


Online story scheduling in web advertising
Anirban Dasgupta, Arpita Ghosh, Hamid Nazerzadeh, Prabhakar Raghavan
Proc. 20th Annual ACM-SIAM Symposium on Discrete Algorithms(SODA), 2009
[abstract]


Optimal Envy-free Pricing with Metric Substitutability
Ning Chen, Arpita Ghosh, Sergei Vassilvitskii
Proc. 9th ACM Conference on Electronic Commerce (EC), 2008
[abstract]


Sharing Online Advertising Revenue with Consumers
Yiling Chen, Arpita Ghosh, Preston McAfee, David Pennock
Proc. 4th International Workshop on Internet and Network Economics (WINE), 2008
[abstract]


Externalities in Online Advertising
Arpita Ghosh, Mohammad Mahdian
Proc. 17th ACM International World Wide Web Conference (WWW), 2008
[abstract]


Charity Auctions on Social Networks
Arpita Ghosh, Mohammad Mahdian
Proc. 19th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 2008
[abstract]


Mechanism Design on Trust Networks
Arpita Ghosh, Mohammad Mahdian, David Pennock, Daniel Reeves, Ryan Fugger
Proc. 3rd international Workshop on Internet and Network Economics (WINE), 2007
[abstract]


Cost of Conciseness in Sponsored Search Auctions
Zoe Abrams, Arpita Ghosh, Erik Vee
Proc. 3rd International Workshop on Internet and Network Economics (WINE), 2007
[abstract]


Computing Optimal Bundles for Sponsored Search
Arpita Ghosh, Hamid Nazerzadeh, Mukund Sundararajan
Proc. 3rd International Workshop on Internet and Network Economics (WINE), 2007
[abstract]


Auctions with Revenue Guarantees for Sponsored Search
Zoe Abrams, Arpita Ghosh
Proc. 3rd International Workshop on Internet and Network Economics (WINE), 2007
[abstract]


The Discoverability of the Web
Anirban Dasgupta, Arpita Ghosh, Ravi Kumar, Chris Olston, Sandeep Pandey, Andrew Tomkins
Proc. 16th ACM International World Wide Web Conference (WWW), 2007
[abstract]


Minimizing Effective Resistance of a Graph
Arpita Ghosh, Stephen Boyd, Amin Saberi
SIAM Review, Problems and Techniques section, 2007
[abstract]


Randomized Gossip Algorithms
Stephen Boyd, Arpita Ghosh, Balaji Prabhakar, Devavrat Shah
IEEE Transactions on Information Theory, Special issue of IEEE Transactions on Information Theory and IEEE/ACM Transactions on Networking, 2006
[abstract]


Upper Bounds on Algebraic Connectivity via Convex Optimization
Arpita Ghosh, Stephen Boyd
Linear Algebra and its Applications, 2006
[abstract]


Growing Well-Connected Graphs
Arpita Ghosh, Stephen Boyd
Proc. 45th IEEE Conference on Decision and Control (CDC), 2006
[abstract]


Gossip Algorithms: Design, Analysis, and Applications
Stephen Boyd, Arpita Ghosh, Balaji Prabhakar, Devavrat Shah
IEEE Infocom, 2005
[abstract]


Optimal One-bit Quantization
Alessandro Magnani, Arpita Ghosh, Robert M. Gray
Proc. IEEE Data Compression Conference (DCC), 2005
[abstract]


Variable Resolution Information Dissemination
Arpita Ghosh, Dan Greene, Qingfeng Huang, Julia Liu
Proc. IEEE Conference on Sensor and Ad Hoc Communications and Networks (SECON), 2005
[abstract]


SIFT: A low complexity scheduler for the Internet
Konstantinos Psounis, Arpita Ghosh, Balaji Prabhakar, Gang Wang
Proc. 43rd Allerton Conference on Computing, Communication and Control, 2005
[abstract]


Mixing Times of Random Walks on Geometric Random Graphs
Stephen Boyd, Arpita Ghosh, Balaji Prabhakar, Devavrat Shah
Proc. SIAM Workshop on Analytic Algorithmics and Combinatorics (ANALCO), 2005
[abstract]


Analysis and optimization of randomized gossip algorithms
Stephen Boyd, Arpita Ghosh, Balaji Prabhakar, Devavrat Shah
Proc. 43rd IEEE Conference on Decision and Control (CDC), 2004
[abstract]