Publications

Funding support from NSF CAREER Award CMMI 1454310 (2015 - 2020) gratefully acknowledged

Published/Accepted

  • The Limit of Rationality in Choice Modeling: Formulation, Computation, and Implications

    (with Paat Rusmevichientong)
    Forthcoming in Management Science, 2107

  • Identifying Unreliable and Adversarial Workers in Crowdsourced Labeling Tasks

    (with Lakshminarayanan Subramanian and Ashwin Venkataraman)
    Journal of Machine Learning Research (JMLR) 18(93):1–67, October 2017

  • Offline Assortment Optimization in the Presence of an Online Channel

    (with Daria Dzyabura)
    Forthcoming in Management Science, 2016

  • A Partial-Order-Based Model to Estimate Individual Preferences using Panel Data

    (with Gustavo Vulcano)
    Forthcoming in Management Science, 2016

  • A Nonparametric Joint Assortment and Price Choice Model

    (with Paat Rusmevichientong)
    Articles in Advance, pp. 1–18, Management Science, 2016

  • A Nonparametric Approach to Modeling Choice with Limited Data

    (with Vivek Farias and Devavrat Shah)
    Management Science 59(2): 305–322, February 2013

  • Inferring Rankings Using Constrained Sensing

    (with Devavrat Shah)
    IEEE Transactions on Information Theory 57(11): 7288-7306, 2011

  • Fair Scheduling in Networks Through Packet Election

    (with Devavrat Shah)
    IEEE Transactions on Information Theory 57(3): 1368-1381, 2011

Under Review

  • A Model-based Projection Technique for Segmenting Customers

    (with Lakshminarayanan Subramanian and Ashwin Venkataraman)
    Previous title: A Data-Driven Approach to Customer Segmentation
    Conditional Accept at Operations Research
    This draft: January 2017

  • Building Optimized and Hyperlocal Product Assortments: A Nonparametric Choice Approach

    (with Vivek Farias and Devavrat Shah)
    Major Revision at Marketing Science
    This draft: January 2017

  • Using Online Preference Measurement to Infer Offline Purchase Behavior

    (with Daria Dzyabura and Eitan Muller)
    Minor Revision at Marketing Science
    This draft: November 2016

  • A Conditional Gradient Approach for Nonparametric Estimation of Mixtures of Choice Models

    (with Lakshminarayanan Subramanian and Ashwin Venkataraman)
    Major revision at Management Science
    This draft: May 2017

  • Assortment Optimization Under General Choice

    Submitted
    This draft: February 2016

  • Assortment Optimization Under the Mallows model

    (with Antoine Desir, Vineet Goyal, and Danny Segev)
    Proceedings of Neural Information Processing Systems (NIPS) , Barcelona, Spain, December 2016
    Acceptance rate: 568/2500 = 22.7%

  • Predicting Socio-Economic Indicators using News Events

    (with Sunandan Chakraborty, Lakshminarayanan Subramanian, and Ashwin Venkataraman)
    Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Francisco, California, August 2016
    Acceptance rate: 17%

  • Reputation-based Worker Filtering in Crowdsourcing

    (with Lakshminarayanan Subramanian and Ashwin Venkataraman)
    Proceedings of Neural Information Processing Systems (NIPS) , Motreal, Canada, December 2014
    Acceptance rate: 395/1660 = 23.8%

  • Shopping for Products You Don't Know You Need

    (with Nina Mishra and Sreenivas Gollapudi)
    Proceedings of ACM WSDM , Hong Kong, February 2011
    Acceptance rate: 83/372 = 22.3%

  • A Data-Driven Approach to Modeling Choice

    (with Vivek Farias and Devavrat Shah)
    Proceedings of Neural Information Processing Systems (NIPS) , Vancouver, December 2009

    Acceptance rate: 263/1105 = 23.8%

  • Inferring Rankings Under Constrained Sensing

    (with Devavrat Shah)
    Proceedings of Neural Information Processing Systems (NIPS) , Vancouver, December 2008

    Acceptance rate: 250/1016 = 24.6%; Oral presentation: 28/1016 = 2.8%

  • Optimal Delay Scheduling in Networks with Arbitrary Constraints

    (with Devavrat Shah)
    Proceedings of ACM/SIGMETRICS , Annapolis, June 2008
    Acceptance rate: 18%

  • Fair Scheduling through Packet Election

    (with Vishal Doshi and Devavrat Shah)
    Proceedings of IEEE INFOCOM , Phoenix, AZ, April 2008
    Acceptance rate: 18%

  • On High Spatial Reuse Link Scheduling in STDMA Wireless Ad-Hoc Networks

    (with Ashutosh Gore and Abhay Karandikar)
    Proceedings of IEEE GLOBECOM , Washington DC, November 2007
    Acceptance rate: 1018/2576 = 39.5%

  • Exit, Voice, or Loyalty? A Randomized Field Experiment on Platform Design in the Sharing Economy

    (with Apostolos Filippas and Arun Sundararajan)

    Workshop on Information Systems and Economics (WISE), 2017

  • CollectiveTeach: A Platform for Integrating Web-based Educational Content into Lesson Plans

    (with Jay Chen, Lakshminarayanan Subramanian, Rishabh Ranawat, Sepehr Vakil, and Ashwin Venkataraman)

    Forthcoming in Workshop on Advancing Education with Data at KDD, 2017

  • Limitation of Learning Rankings from Partial Information

    (with Devavrat Shah)

    AIM Workshop on Ranking, 2010

  • Recoverabilty Conditions for Rankings Under Partial Information

    (with Devavrat Shah)

    Proceedings of NIPS Workshop on Advances in Rankings, 2009

  • Nonparametric Choice Modeling : Applications to Operations Management

    MIT EECS Ph. D. Thesis, 2011

  • Scheduling algorithms for arbitrary communication networks

    MIT EECS SM Thesis, 2008

  • System and Method for Providing Personalized Recommendations

    (with Devavrat Shah, Vivek Farias, and Ammar Ammar)
    U.S. Patent No. 9,251,527, February 2016
    Assignee: Massachusetts Institute of Technology

  • System and Method for Finding Mood-Dependent Top Selling/Rated Lists

    (with Devavrat Shah, Vivek Farias, and Ammar Ammar)
    U.S. Patent No. 9,201,968, December 2015
    Assignee: Massachusetts Institute of Technology

  • Recommending Queries According to Mapping of Query Communities

    (with Nina Mishra and Sreenivas Gollapudi)
    U.S. Patent 9,171,045, October 2015
    Assignee: Microsoft Technology Licensing LLC

  • System, Method, and Computer-Accessible Medium for a Model-Based Projection Technique for Segmenting Customers

    (with with Lakshminarayanan Subramanian and Ashwin Venkataraman)
    U.S. Prov. App. No. 62/412,083, October 2016
    Assignee: New York Univsersity