| 2025 | ICML | A Mathematical Framework for AI-Human Integration in Work. | L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi |
| 2024 | AIES | Algorithmic Fairness From the Perspective of Legal Anti-discrimination Principles. | Vijay Keswani, L. Elisa Celis |
| 2024 | ICML | Centralized Selection with Preferences in the Presence of Biases. | L. Elisa Celis, Amit Kumar, Nisheeth K. Vishnoi, Andrew Xu |
| 2024 | ICML | Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach. | Vijay Keswani, Anay Mehrotra, L. Elisa Celis |
| 2023 | ICML | 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 |
| 2021 | ICML | Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees. | L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi |
| 2021 | KDD | Auditing for Diversity Using Representative Examples. | Vijay Keswani, L. Elisa Celis |
| 2021 | WWW | Dialect Diversity in Text Summarization on Twitter. | Vijay Keswani, L. Elisa Celis |
| 2020 | AIES | Towards Just, Fair and Interpretable Methods for Judicial Subset Selection. | Lingxiao Huang, Julia Wei, L. Elisa Celis |
| 2020 | ICML | Data preprocessing to mitigate bias: A maximum entropy based approach. | L. Elisa Celis, Vijay Keswani, Nisheeth K. Vishnoi |
| 2019 | ICML | Toward Controlling Discrimination in Online Ad Auctions. | L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi |
| 2018 | ICALP | Ranking with Fairness Constraints. | L. Elisa Celis, Damian Straszak, Nisheeth K. Vishnoi |
| 2018 | ICML | Fair and Diverse DPP-Based Data Summarization. | L. Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi |
| 2018 | IJCAI | Multiwinner Voting with Fairness Constraints. | L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi |
| 2018 | IJCAI | Balanced News Using Constrained Bandit-based Personalization. | Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis |
| 2017 | ICML | Dictionary Learning Based on Sparse Distribution Tomography. | Pedram Pad, Farnood Salehi, L. Elisa Celis, Patrick Thiran, Michael Unser |
| 2017 | PODC | A Distributed Learning Dynamics in Social Groups. | L. Elisa Celis, Peter M. Krafft, Nisheeth K. Vishnoi |
| 2017 | WWW | Back To The Source: An Online Approach for Sensor Placement and Source Localization. | Brunella Spinelli, L. Elisa Celis, Patrick Thiran |
| 2016 | CSCW | Assignment Techniques for Crowdsourcing Sensitive Tasks. | L. Elisa Celis, Sai Praneeth Reddy, Ishaan Preet Singh, Shailesh Vaya |
| 2016 | ICWSM | Sequential Voting Promotes Collective Discovery in Social Recommendation Systems. | L. Elisa Celis, Peter M. Krafft, Nathan Kobe |
| 2014 | HCOMP | CrowdUtility: A Recommendation System for Crowdsourcing Platforms. | Deepthi Chander, Sakyajit Bhattacharya, L. Elisa Celis, Koustuv Dasgupta, Saraschandra Karanam, Vaibhav Rajan, Avantika Gupta |
| 2014 | HCOMP | Adaptive Performance Optimization over Crowd Labor Channels. | Saraschandra Karanam, Deepthi Chander, L. Elisa Celis, Koustuv Dasgupta, Vaibhav Rajan |
| 2014 | HCOMP | Post It or Not: Viewership Based Posting of Crowdsourced Tasks. | Pallavi Manohar, Deepthi Chander, L. Elisa Celis, Koustuv Dasgupta, Sakyajit Bhattacharya |
| 2013 | HCOMP | Lottery-Based Payment Mechanism for Microtasks. | L. Elisa Celis, Shourya Roy, Vivek Mishra |
| 2013 | ICALP | On Revenue Maximization for Agents with Costly Information Acquisition - Extended Abstract. | L. Elisa Celis, Dimitrios C. Gklezakos, Anna R. Karlin |
| 2013 | WWW | Adaptive crowdsourcing for temporal crowds. | L. Elisa Celis, Koustuv Dasgupta, Vaibhav Rajan |
| 2012 | AAAI | Approximately Revenue-Maximizing Auctions for Deliberative Agents. | L. Elisa Celis, Anna R. Karlin, Kevin Leyton-Brown, C. Thach Nguyen, David R. M. Thompson |
| 2011 | FOCS | Balls and Bins: Smaller Hash Families and Faster Evaluation. | L. Elisa Celis, Omer Reingold, Gil Segev, Udi Wieder |
| 2011 | WWW | Buy-it-now or take-a-chance: a simple sequential screening mechanism. | L. Elisa Celis, Gregory Lewis, Markus M. Mbius, Hamid Nazerzadeh |
| 2009 | FOCS | Convergence of Local Dynamics to Balanced Outcomes in Exchange Networks. | Yossi Azar, Benjamin E. Birnbaum, L. Elisa Celis, Nikhil R. Devanur, Yuval Peres |