Convergence of Local Dynamics to Balanced Outcomes in Exchange Networks. - Yossi Azar; Benjamin E. Birnbaum; L. Elisa Celis; Nikhil R. Devanur; Yuval Peres (FOCS, 2009)

Local Dynamics in Bargaining Networks via Random-Turn Games. - L. Elisa Celis; Nikhil R. Devanur; Yuval Peres (WINE, 2010)

Buy-it-now or take-a-chance: a simple sequential screening mechanism. - L. Elisa Celis; Gregory Lewis; Markus M. Möbius; Hamid Nazerzadeh (WWW, 2011)

Approximately Revenue-Maximizing Auctions for Deliberative Agents. - L. Elisa Celis; Anna R. Karlin; Kevin Leyton-Brown; C. Thach Nguyen; David R. M. Thompson (AAAI, 2012)

Information Economics in the Age of e-Commerce: Models and Mechanisms for Information-Rich Markets. - Laura Elisa Celis (2012)

Lottery-Based Payment Mechanism for Microtasks. - L. Elisa Celis; Shourya Roy; Vivek Mishra (HCOMP (Works in Progress / Demos), 2013)

On Revenue Maximization for Agents with Costly Information Acquisition - Extended Abstract. - L. Elisa Celis; Dimitrios C. Gklezakos; Anna R. Karlin (ICALP (2), 2013)

Adaptive crowdsourcing for temporal crowds. - L. Elisa Celis; Koustuv Dasgupta; Vaibhav Rajan (WWW (Companion Volume), 2013)

Balls and Bins: Smaller Hash Families and Faster Evaluation. - L. Elisa Celis; Omer Reingold; Gil Segev 001; Udi Wieder (SIAM J. Comput., 2013)

CrowdUtility: A Recommendation System for Crowdsourcing Platforms. - Deepthi Chander; Sakyajit Bhattacharya; L. Elisa Celis; Koustuv Dasgupta; Saraschandra Karanam; Vaibhav Rajan; Avantika Gupta (HCOMP, 2014)

Adaptive Performance Optimization over Crowd Labor Channels. - Saraschandra Karanam; Deepthi Chander; L. Elisa Celis; Koustuv Dasgupta; Vaibhav Rajan (HCOMP, 2014)

Post It or Not: Viewership Based Posting of Crowdsourced Tasks. - Pallavi Manohar; Deepthi Chander; L. Elisa Celis; Koustuv Dasgupta; Sakyajit Bhattacharya (HCOMP, 2014)

Buy-It-Now or Take-a-Chance: Price Discrimination Through Randomized Auctions. - L. Elisa Celis; Gregory Lewis; Markus M. Möbius; Hamid Nazerzadeh (Manag. Sci., 2014)

A Model for Social Network Formation: Efficiency, Stability and Dynamics. - L. Elisa Celis; Aida Sadat Mousavifar (CoRR, 2015)

Budgeted sensor placement for source localization on trees. - L. Elisa Celis; Filip Pavetic; Brunella Spinelli; Patrick Thiran (Electron. Notes Discret. Math., 2015)

Crowds of Crowds: Performance based Modeling and Optimization over Multiple Crowdsourcing Platforms. - Sakyajit Bhattacharya; Laura Elisa Celis; Deepthi Chander; Koustuv Dasgupta; Saraschandra Karanam; Vaibhav Rajan (Hum. Comput., 2015)

Observer placement for source localization: The effect of budgets and transmission variance. - Brunella Spinelli; L. Elisa Celis; Patrick Thiran (Allerton, 2016)

Assignment Techniques for Crowdsourcing Sensitive Tasks. - L. Elisa Celis; Sai Praneeth Reddy; Ishaan Preet Singh; Shailesh Vaya (CSCW, 2016)

Sequential Voting Promotes Collective Discovery in Social Recommendation Systems. - L. Elisa Celis; Peter M. Krafft; Nathan Kobe (ICWSM, 2016)

How to be Fair and Diverse? - L. Elisa Celis; Amit Deshpande 001; Tarun Kathuria; Nisheeth K. Vishnoi (CoRR, 2016)

On the Complexity of Constrained Determinantal Point Processes. - L. Elisa Celis; Amit Deshpande 001; Tarun Kathuria; Damian Straszak; Nisheeth K. Vishnoi (APPROX-RANDOM, 2017)

Dictionary Learning Based on Sparse Distribution Tomography. - Pedram Pad; Farnood Salehi; L. Elisa Celis; Patrick Thiran; Michael Unser (ICML, 2017)

A Distributed Learning Dynamics in Social Groups. - L. Elisa Celis; Peter M. Krafft; Nisheeth K. Vishnoi (PODC, 2017)

A Dynamics for Advertising on Networks. - L. Elisa Celis; Mina Dalirrooyfard; Nisheeth K. Vishnoi (WINE, 2017)

Back To The Source: An Online Approach for Sensor Placement and Source Localization. - Brunella Spinelli; L. Elisa Celis; Patrick Thiran (WWW, 2017)

The effect of transmission variance on observer placement for source-localization. - Brunella Spinelli; L. Elisa Celis; Patrick Thiran (Appl. Netw. Sci., 2017)

A Model for Information Networks: Efficiency, Stability and Dynamics. - L. Elisa Celis; Aida Sadat Mousavifar (CoRR, 2017)

Lean From Thy Neighbor: Stochastic & Adversarial Bandits in a Network. - L. Elisa Celis; Farnood Salehi (CoRR, 2017)

Fair Personalization. - L. Elisa Celis; Nisheeth K. Vishnoi (CoRR, 2017)

Stochastic Optimization with Bandit Sampling. - Farnood Salehi; L. Elisa Celis; Patrick Thiran (CoRR, 2017)

Group Fairness in Multiwinner Voting. - L. Elisa Celis; Lingxiao Huang; Nisheeth K. Vishnoi (CoRR, 2017)

Stochastic Dual Coordinate Descent with Bandit Sampling. - Farnood Salehi; Patrick Thiran; L. Elisa Celis (CoRR, 2017)

How Many Sensors to Localize the Source? The Double Metric Dimension of Random Networks. - Brunella Spinelli; L. Elisa Celis; Patrick Thiran (Allerton, 2018)

Ranking with Fairness Constraints. - L. Elisa Celis; Damian Straszak; Nisheeth K. Vishnoi (ICALP, 2018)

Fair and Diverse DPP-Based Data Summarization. - L. Elisa Celis; Vijay Keswani; Damian Straszak; Amit Deshpande 001; Tarun Kathuria; Nisheeth K. Vishnoi (ICML, 2018)

Multiwinner Voting with Fairness Constraints. - L. Elisa Celis; Lingxiao Huang; Nisheeth K. Vishnoi (IJCAI, 2018)

Balanced News Using Constrained Bandit-based Personalization. - Sayash Kapoor; Vijay Keswani; Nisheeth K. Vishnoi; L. Elisa Celis (IJCAI, 2018)

Coordinate Descent with Bandit Sampling. - Farnood Salehi; Patrick Thiran; L. Elisa Celis (NeurIPS, 2018)

An Algorithmic Framework to Control Bias in Bandit-based Personalization. - L. Elisa Celis; Sayash Kapoor; Farnood Salehi; Nisheeth K. Vishnoi (CoRR, 2018)

Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees. - L. Elisa Celis; Lingxiao Huang; Vijay Keswani; Nisheeth K. Vishnoi (FAT, 2019)

Controlling Polarization in Personalization: An Algorithmic Framework. - L. Elisa Celis; Sayash Kapoor; Farnood Salehi; Nisheeth K. Vishnoi (FAT, 2019)

Toward Controlling Discrimination in Online Ad Auctions. - L. Elisa Celis; Anay Mehrotra; Nisheeth K. Vishnoi (ICML, 2019)

FAT/MM'19: 1st International Workshop on Fairness, Accountability, and Transparency in MultiMedia. - Xavier Alameda-Pineda; Miriam Redi; L. Elisa Celis; Nicu Sebe; Shih-Fu Chang (ACM Multimedia, 2019)

Assessing Social and Intersectional Biases in Contextualized Word Representations. - Yi Chern Tan; L. Elisa Celis (NeurIPS, 2019)

A dashboard for controlling polarization in personalization. - L. Elisa Celis; Sayash Kapoor; Farnood Salehi; Vijay Keswani; Nisheeth K. Vishnoi (AI Commun., 2019)

Improved Adversarial Learning for Fair Classification. - L. Elisa Celis; Vijay Keswani (CoRR, 2019)

Fair Online Advertising. - L. Elisa Celis; Anay Mehrotra; Nisheeth K. Vishnoi (CoRR, 2019)

Fair Distributions from Biased Samples: A Maximum Entropy Optimization Framework. - L. Elisa Celis; Vijay Keswani; Ozan Yildiz; Nisheeth K. Vishnoi (CoRR, 2019)

A General Framework for Sensor Placement in Source Localization. - Brunella Spinelli; L. Elisa Celis; Patrick Thiran (IEEE Trans. Netw. Sci. Eng., 2019)

Towards Just, Fair and Interpretable Methods for Judicial Subset Selection. - Lingxiao Huang; Julia Wei; L. Elisa Celis (AIES, 2020)

Interventions for ranking in the presence of implicit bias. - L. Elisa Celis; Anay Mehrotra; Nisheeth K. Vishnoi (FAT*, 2020)

Data preprocessing to mitigate bias: A maximum entropy based approach. - L. Elisa Celis; Vijay Keswani; Nisheeth K. Vishnoi (ICML, 2020)

Fair Classification with Noisy Protected Attributes. - L. Elisa Celis; Lingxiao Huang; Nisheeth K. Vishnoi (CoRR, 2020)

Implicit Diversity in Image Summarization. - L. Elisa Celis; Vijay Keswani (Proc. ACM Hum. Comput. Interact., 2020)

The Effect of the Rooney Rule on Implicit Bias in the Long Term. - L. Elisa Celis; Chris Hays; Anay Mehrotra; Nisheeth K. Vishnoi (FAccT, 2021)

Mitigating Bias in Set Selection with Noisy Protected Attributes. - Anay Mehrotra; L. Elisa Celis (FAccT, 2021)

Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees. - L. Elisa Celis; Lingxiao Huang; Vijay Keswani; Nisheeth K. Vishnoi (ICML, 2021)

Auditing for Diversity Using Representative Examples. - Vijay Keswani; L. Elisa Celis (KDD, 2021)

Fair Classification with Adversarial Perturbations. - L. Elisa Celis; Anay Mehrotra; Nisheeth K. Vishnoi (NeurIPS, 2021)

Dialect Diversity in Text Summarization on Twitter. - Vijay Keswani; L. Elisa Celis (WWW, 2021)

Diverse Representation via Computational Participatory Elections - Lessons from a Case Study. - Florian Evéquoz; Johan Rochel; Vijay Keswani; L. Elisa Celis (EAAMO, 2022)

Revisiting Group Fairness Metrics: The Effect of Networks. - Anay Mehrotra; Jeff Sachs; L. Elisa Celis (Proc. ACM Hum. Comput. Interact., 2022)

Addressing Strategic Manipulation Disparities in Fair Classification. - Vijay Keswani; L. Elisa Celis (EAAMO, 2023)

Designing Closed-Loop Models for Task Allocation. - Vijay Keswani; L. Elisa Celis; Krishnaram Kenthapadi; Matthew Lease (HHAI, 2023)

Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions. - Niclas Boehmer; L. Elisa Celis; Lingxiao Huang; Anay Mehrotra; Nisheeth K. Vishnoi (ICML, 2023)

Bias in Evaluation Processes: An Optimization-Based Model. - L. Elisa Celis; Amit Kumar 001; Anay Mehrotra; Nisheeth K. Vishnoi (NeurIPS, 2023)

Algorithmic Fairness From the Perspective of Legal Anti-discrimination Principles. - Vijay Keswani; L. Elisa Celis (AIES (1), 2024)

Centralized Selection with Preferences in the Presence of Biases. - L. Elisa Celis; Amit Kumar 001; Nisheeth K. Vishnoi; Andrew Xu (ICML, 2024)

Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach. - Vijay Keswani; Anay Mehrotra; L. Elisa Celis (ICML, 2024)

A Mathematical Framework for AI-Human Integration in Work. - L. Elisa Celis; Lingxiao Huang; Nisheeth K. Vishnoi (CoRR, 2025)