Elisa’s Publications

PREPRINTS

    • Implicit Diversity in Image Summarization
      Elisa Celis and Vijay Keswani
      arXiv:1901.10265
    • Fair Online Advertising
      Elisa Celis, Anay Mehrotra and Nisheeth Vishnoi
      arXiv:1901.10450
    • Improved Adversarial Learning for Fair Classification
      Elisa Celis and Vijay Keswani
      arXiv:1901.10443
    • Stochastic Optimization with Bandit Sampling
      Farnood Salehi, Patrick Thiran and Elisa Celis
      arXiv:1708.02544
    • Learn From Thy Neighbor: Stochastic and Adversarial Bandits in a Network
      Elisa Celis and Farnood Salehi
      Presented at the International Symposium on Mathematical Programming (ISMP), 2015
      arXiv:1704.04470

PAPERS AT PEER REVIEWED CONFERENCES AND JOURNALS

    • Ranking with Fairness Constraints
      Elisa Celis, Damian Straszak and Nisheeth K. Vishnoi
      International Colloquium on Automata, Languages, and Programming (ICALP), 2018
    • A General Framework for Sensor Placement in Source Localization
      Brunella Spinelli, Elisa Celis and Patrick Thiran
      IEEE Transactions on Network Science and Engineering, 2018
    • The Effect of Transmission Variance on Observer Placement for Source-Localization
      Brunella Spinelli, Elisa Celis and Patrick Thiran
      Journal of Applied Network Science, 2017
    • A Dynamics for Advertising on Networks
      Elisa Celis, Mina Dalirrooyfard and Nisheeth Vishnoi
      Conference on Web and Internet Economics (WINE), 2017
    • A Model for Social Network Formation: Efficiency, Stability and Dynamics
      Elisa Celis and Aida Mousavifar
      Accepted at the Stony Brook International Conference on Game Theory (GTCenter), 2016
      Poster presentation at the Conference on Web and Internet Economics (WINE), 2017
    • On the Complexity of Constrained Determinantal Point Processes
      Elisa Celis, Amit Deshpande, Tarun Kathuria, Damian Straszak and Nisheeth K. Vishnoi
      International Workshop on Randomization and Computation (RANDOM), 2017
    • Fair Personalization
      Elisa Celis and Nisheeth K. Vishnoi
      Fairness, Accountability, and Transparency in Machine Learning (FAT/ML), 2017
    • Dictionary Learning Based on Sparse Distribution Tomography
      Pedram Pad, Farnood Salehi, Elisa Celis, Patrick Thiran and Michael Unser
      International Conference on Machine Learning (ICML), 2017
    • A Distributed Learning Dynamics in Social Groups
      Elisa Celis, Peter Krafft and Nisheeth Vishnoi
      ACM Symposium on Principles of Distributed Computing (PODC), 2017
    • What Do Users Want in Q&A Sites: Quality or Diversity?
      Elisa Celis and Siddhartha Tekriwal
      International Conference on Computational Social Science (IC2S2), 2017
    • Auctions for Online Advertising with Constraints
      Elisa Celis, Farnood Salehi and Salman Salamatian
      Manufacturing & Service Operations Management Society Conference (MSOM), 2017
    • Back to the source: An online approach for sensor placement and source localization
      Brunella Spinelli, Elisa Celis and Patrick Thiran
      World Wide Web Conference (WWW), 2017
    • How to be Fair and Diverse?
      Elisa Celis, Amit Deshpande, Tarun Kathuria and Nisheeth Vishnoi
      Fairness, Accountability, and Transparency in Machine Learning (FATML), 2016
    • Observer Placement for Source Localization: The Effect of Budgets and Transmission Variance
      Brunella Spinelli, Elisa Celis and Patrick Thiran
      Annual Allerton Conference on Communication, Control and Computing (Allerton), 2016
      Presented at the International Workshop on Complex Networks and their Applications (ComplexNets), 2016
    • Sequential Voting Promotes Collective Discovery in Social Recommendation Systems
      Elisa Celis, Peter M. Krafft, and Nathan Kobe
      International AAAI Conference on Web and Social Media (ICWSM), 2016
    • Assignment Techniques for Crowdsourcing Sensitive Tasks
      Elisa Celis, Sai Praneeth Reddy, Ishaan Preet Singh and Shailesh Vaya
      Computer-Supported Cooperative Work and Social Computing (CSCW), 2016
    • Crowds of Crowds: Performance based Modeling and Optimization over Multiple Crowdsourcing Platforms
      Sakyajit Bhattacharya, Elisa Celis, Deepthi Chander, Koustuv Dasgupta, Saraschandra Karanam, and Vaibhav Rajan
      Human Computation Journal, 2015
    • Budgeted Sensor Placement for Source Localization on Trees
      Elisa Celis, Filip Pavetic, Brunella Spinelli and Patrick Thiran
      Algorithms, Graphs and Optimization Symposium (LAGOS), 2015
    • Adaptive Performance Optimization over Crowd Labor Channels
      Saras Karanam, Elisa Celis, Deepthi Chander, Koustuv Dasgupta and Vaibhav Rajan
      Conference on Human Computation & Crowdsourcing (HCOMP), WiP track, 2014
    • Post it or Not: Viewership Based Posting of Crowdsourced Tasks
      Pallavi Manohar, Deepthi Chander, Elisa Celis, Koustuv Dasgupta, and Sakyajit Bhattacharya
      Conference on Human Computation & Crowdsourcing (HCOMP), WiP track, 2014
    • Lottery-based Payment Mechanism for Microtasks
      Elisa Celis, Shourya Roy and Vivek Mishra
      Conference on Human Computation & Crowdsourcing (HCOMP), WiP track, 2013
    • Adaptive Crowdsourcing for Temporal Crowds
      Elisa Celis, Koustuv Dasgupta and Vaibhav Rajan
      Temporal Web Analytics Workshop at the Int. World Wide Web Conf. (WWW), 2013
    • Approximately Revenue-Maximizing Mechanisms for Deliberative Agents
      Elisa Celis, Anna Karlin, Kevin Leyton-Brown, Thach Nguyen and David Thompson
      Association for the Advancement of Artificial Intelligence (AAAI), 2012
    • Buy-it-now or Take-a-chance: Price Discrimination through Randomized Auctions
      Elisa Celis, Greg Lewis, Markus Mobius and Hamid Nazerzadeh
      Manufacturing & Service Operations Management Society Conference (MSOM), 2012
    • Balls and Bins: Smaller Hash Families and Faster Evaluation
      Elisa Celis, Omer Reingold, Gil Segev and Udi Wieder
      Foundations of Computer Science (FOCS), 2011
    • Buy-it-Now or Take-a-Chance: A Simple Sequential Screening Mechanism
      Elisa Celis, Gregory Lewis, Markus Mobius and Hamid Nazerzadeh
      International World Wide Web Conference (WWW), 2011

GRANTED PATENTS

    • Method and system for recommending tasks to crowdworker
      Chithra Balamurugan, Elisa Celis, Koustuv Dasgupta and Saras Karanam
      Oct 2015. Patent No: US9152919 B2
    • Method and system for managing allocation of tasks to be crowdsourced
      Elisa Celis and Koustuv Dasgupta
      Aug 2015. Patent No: US9098343 B2