L. Elisa Celis

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 73

Top Topics

Source Localization

Maximum Entropy

Subset Selection

Top Venues

Publications

Vijay Keswani, Anay Mehrotra, L. Elisa Celis
Fair Classification with Partial Feedback: An Exploration-Based Data-Collection Approach. CoRR (2024)
Vijay Keswani, L. Elisa Celis, Krishnaram Kenthapadi, Matthew Lease
Designing Closed-Loop Models for Task Allocation. CoRR (2023)
Vijay Keswani, L. Elisa Celis, Krishnaram Kenthapadi, Matthew Lease
Designing Closed-Loop Models for Task Allocation. HHAI (2023)
L. Elisa Celis, Amit Kumar, Anay Mehrotra, Nisheeth K. Vishnoi
Bias in Evaluation Processes: An Optimization-Based Model. CoRR (2023)
Niclas Boehmer, L. Elisa Celis, Lingxiao Huang, Anay Mehrotra, Nisheeth K. Vishnoi
Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions. CoRR (2023)
Niclas Boehmer, L. Elisa Celis, Lingxiao Huang, Anay Mehrotra, Nisheeth K. Vishnoi
Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions. ICML (2023)
L. Elisa Celis, Amit Kumar, Anay Mehrotra, Nisheeth K. Vishnoi
Bias in Evaluation Processes: An Optimization-Based Model. NeurIPS (2023)
Vijay Keswani, L. Elisa Celis
Addressing Strategic Manipulation Disparities in Fair Classification. EAAMO (2023)
Florian Evéquoz, Johan Rochel, Vijay Keswani, L. Elisa Celis
Diverse Representation via Computational Participatory Elections - Lessons from a Case Study. EAAMO (2022)
Vijay Keswani, L. Elisa Celis
Addressing Strategic Manipulation Disparities in Fair Classification. CoRR (2022)
Anay Mehrotra, Jeff Sachs, L. Elisa Celis
Revisiting Group Fairness Metrics: The Effect of Networks. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Anay Mehrotra, Jeff Sachs, L. Elisa Celis
Revisiting Group Fairness Metrics: The Effect of Networks. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Florian Evéquoz, Johan Rochel, Vijay Keswani, L. Elisa Celis
Diverse Representation via Computational Participatory Elections - Lessons from a Case Study. CoRR (2022)
L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi
Fair Classification with Adversarial Perturbations. CoRR (2021)
L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi
Fair Classification with Adversarial Perturbations. NeurIPS (2021)
L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees. ICML (2021)
Anay Mehrotra, L. Elisa Celis
Mitigating Bias in Set Selection with Noisy Protected Attributes. FAccT (2021)
Vijay Keswani, L. Elisa Celis
Auditing for Diversity using Representative Examples. CoRR (2021)
L. Elisa Celis, Chris Hays, Anay Mehrotra, Nisheeth K. Vishnoi
The Effect of the Rooney Rule on Implicit Bias in the Long Term. FAccT (2021)
Vijay Keswani, L. Elisa Celis
Auditing for Diversity Using Representative Examples. KDD (2021)
Vijay Keswani, L. Elisa Celis
Dialect Diversity in Text Summarization on Twitter. WWW (2021)
Anay Mehrotra, L. Elisa Celis
Mitigating Bias in Set Selection with Noisy Protected Attributes. CoRR (2020)
L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi
Fair Classification with Noisy Protected Attributes. CoRR (2020)
L. Elisa Celis, Vijay Keswani
Dialect Diversity in Text Summarization on Twitter. CoRR (2020)
L. Elisa Celis, Chris Hays, Anay Mehrotra, Nisheeth K. Vishnoi
The Effect of the Rooney Rule on Implicit Bias in the Long Term. CoRR (2020)
L. Elisa Celis, Vijay Keswani, Nisheeth K. Vishnoi
Data preprocessing to mitigate bias: A maximum entropy based approach. ICML (2020)
L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi
Interventions for Ranking in the Presence of Implicit Bias. CoRR (2020)
Lingxiao Huang, Julia Wei, L. Elisa Celis
Towards Just, Fair and Interpretable Methods for Judicial Subset Selection. AIES (2020)
L. Elisa Celis, Vijay Keswani
Implicit Diversity in Image Summarization. Proc. ACM Hum. Comput. Interact. 4 (CSCW2) (2020)
L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi
Interventions for ranking in the presence of implicit bias. FAT* (2020)
Brunella Spinelli, L. Elisa Celis, Patrick Thiran
A General Framework for Sensor Placement in Source Localization. IEEE Trans. Netw. Sci. Eng. 6 (2) (2019)
L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi
Fair Online Advertising. CoRR (2019)
L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi
Toward Controlling Discrimination in Online Ad Auctions. ICML (2019)
L. Elisa Celis, Vijay Keswani
Implicit Diversity in Image Summarization. CoRR (2019)
L. Elisa Celis, Vijay Keswani
Improved Adversarial Learning for Fair Classification. CoRR (2019)
L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Vijay Keswani, Nisheeth K. Vishnoi
A dashboard for controlling polarization in personalization. AI Commun. 32 (1) (2019)
L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Nisheeth K. Vishnoi
Controlling Polarization in Personalization: An Algorithmic Framework. FAT (2019)
L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees. FAT (2019)
L. Elisa Celis, Vijay Keswani, Ozan Yildiz, Nisheeth K. Vishnoi
Fair Distributions from Biased Samples: A Maximum Entropy Optimization Framework. CoRR (2019)
Yi Chern Tan, L. Elisa Celis
Assessing Social and Intersectional Biases in Contextualized Word Representations. CoRR (2019)
Yi Chern Tan, L. Elisa Celis
Assessing Social and Intersectional Biases in Contextualized Word Representations. NeurIPS (2019)
Xavier Alameda-Pineda, Miriam Redi, L. Elisa Celis, Nicu Sebe, Shih-Fu Chang
FAT/MM'19: 1st International Workshop on Fairness, Accountability, and Transparency in MultiMedia. ACM Multimedia (2019)
L. Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi
Fair and Diverse DPP-based Data Summarization. CoRR (2018)
Brunella Spinelli, L. Elisa Celis, Patrick Thiran
How Many Sensors to Localize the Source? The Double Metric Dimension of Random Networks. Allerton (2018)
L. Elisa Celis, Damian Straszak, Nisheeth K. Vishnoi
Ranking with Fairness Constraints. ICALP (2018)
L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Nisheeth K. Vishnoi
An Algorithmic Framework to Control Bias in Bandit-based Personalization. CoRR (2018)
Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis
Balanced News Using Constrained Bandit-based Personalization. IJCAI (2018)
Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis
Balanced News Using Constrained Bandit-based Personalization. CoRR (2018)
L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi
Multiwinner Voting with Fairness Constraints. IJCAI (2018)
L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees. CoRR (2018)
Farnood Salehi, Patrick Thiran, L. Elisa Celis
Coordinate Descent with Bandit Sampling. NeurIPS (2018)
L. Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi
Fair and Diverse DPP-Based Data Summarization. ICML (2018)
L. Elisa Celis, Damian Straszak, Nisheeth K. Vishnoi
Ranking with Fairness Constraints. CoRR (2017)
L. Elisa Celis, Mina Dalirrooyfard, Nisheeth K. Vishnoi
A Dynamics for Advertising on Networks. WINE (2017)
Brunella Spinelli, L. Elisa Celis, Patrick Thiran
The effect of transmission variance on observer placement for source-localization. Appl. Netw. Sci. 2 (2017)
Pedram Pad, Farnood Salehi, L. Elisa Celis, Patrick Thiran, Michael Unser
Dictionary Learning Based on Sparse Distribution Tomography. ICML (2017)
L. Elisa Celis, Farnood Salehi
Lean From Thy Neighbor: Stochastic & Adversarial Bandits in a Network. CoRR (2017)
L. Elisa Celis, Peter M. Krafft, Nisheeth K. Vishnoi
A Distributed Learning Dynamics in Social Groups. CoRR (2017)
Brunella Spinelli, L. Elisa Celis, Patrick Thiran
Back to the Source: an Online Approach for Sensor Placement and Source Localization. CoRR (2017)
Brunella Spinelli, L. Elisa Celis, Patrick Thiran
Back To The Source: An Online Approach for Sensor Placement and Source Localization. WWW (2017)
Farnood Salehi, Patrick Thiran, L. Elisa Celis
Stochastic Dual Coordinate Descent with Bandit Sampling. CoRR (2017)
L. Elisa Celis, Nisheeth K. Vishnoi
Fair Personalization. CoRR (2017)
L. Elisa Celis, Peter M. Krafft, Nisheeth K. Vishnoi
A Distributed Learning Dynamics in Social Groups. PODC (2017)
L. Elisa Celis, Aida Sadat Mousavifar
A Model for Information Networks: Efficiency, Stability and Dynamics. CoRR (2017)
L. Elisa Celis, Amit Deshpande, Tarun Kathuria, Damian Straszak, Nisheeth K. Vishnoi
On the Complexity of Constrained Determinantal Point Processes. APPROX-RANDOM (2017)
Farnood Salehi, L. Elisa Celis, Patrick Thiran
Stochastic Optimization with Bandit Sampling. CoRR (2017)
L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi
Group Fairness in Multiwinner Voting. CoRR (2017)
Brunella Spinelli, L. Elisa Celis, Patrick Thiran
Observer placement for source localization: The effect of budgets and transmission variance. Allerton (2016)
L. Elisa Celis, Sai Praneeth Reddy, Ishaan Preet Singh, Shailesh Vaya
Assignment Techniques for Crowdsourcing Sensitive Tasks. CSCW (2016)
Brunella Spinelli, L. Elisa Celis, Patrick Thiran
Observer Placement for Source Localization: The Effect of Budgets and Transmission Variance. CoRR (2016)
L. Elisa Celis, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi
How to be Fair and Diverse? CoRR (2016)
L. Elisa Celis, Peter M. Krafft, Nathan Kobe
Sequential Voting Promotes Collective Discovery in Social Recommendation Systems. ICWSM (2016)
L. Elisa Celis, Peter M. Krafft, Nathan Kobe
Sequential Voting Promotes Collective Discovery in Social Recommendation Systems. CoRR (2016)
L. Elisa Celis, Aida Sadat Mousavifar
A Model for Social Network Formation: Efficiency, Stability and Dynamics. CoRR (2015)
L. Elisa Celis, Filip Pavetic, Brunella Spinelli, Patrick Thiran
Budgeted sensor placement for source localization on trees. Electron. Notes Discret. Math. 50 (2015)
Deepthi Chander, Sakyajit Bhattacharya, L. Elisa Celis, Koustuv Dasgupta, Saraschandra Karanam, Vaibhav Rajan, Avantika Gupta
CrowdUtility: A Recommendation System for Crowdsourcing Platforms. HCOMP (2014)
Saraschandra Karanam, Deepthi Chander, L. Elisa Celis, Koustuv Dasgupta, Vaibhav Rajan
Adaptive Performance Optimization over Crowd Labor Channels. HCOMP (2014)
L. Elisa Celis, Gregory Lewis, Markus M. Mobius, Hamid Nazerzadeh
Buy-It-Now or Take-a-Chance: Price Discrimination Through Randomized Auctions. Manag. Sci. 60 (12) (2014)
Pallavi Manohar, Deepthi Chander, L. Elisa Celis, Koustuv Dasgupta, Sakyajit Bhattacharya
Post It or Not: Viewership Based Posting of Crowdsourced Tasks. HCOMP (2014)
L. Elisa Celis, Koustuv Dasgupta, Vaibhav Rajan
Adaptive crowdsourcing for temporal crowds. WWW (Companion Volume) (2013)
L. Elisa Celis, Dimitrios C. Gklezakos, Anna R. Karlin
On Revenue Maximization for Agents with Costly Information Acquisition - Extended Abstract. ICALP (2) (2013)
L. Elisa Celis, Omer Reingold, Gil Segev, Udi Wieder
Balls and Bins: Smaller Hash Families and Faster Evaluation. SIAM J. Comput. 42 (3) (2013)
L. Elisa Celis, Shourya Roy, Vivek Mishra
Lottery-Based Payment Mechanism for Microtasks. HCOMP (Works in Progress / Demos) (2013)
L. Elisa Celis, Anna R. Karlin, Kevin Leyton-Brown, C. Thach Nguyen, David R. M. Thompson
Approximately Revenue-Maximizing Auctions for Deliberative Agents. AAAI (2012)
L. Elisa Celis, Gregory Lewis, Markus M. Mobius, Hamid Nazerzadeh
Buy-it-now or take-a-chance: a simple sequential screening mechanism. WWW (2011)
L. Elisa Celis, Omer Reingold, Gil Segev, Udi Wieder
Balls and Bins: Smaller Hash Families and Faster Evaluation. FOCS (2011)
L. Elisa Celis, Omer Reingold, Gil Segev, Udi Wieder
Balls and Bins: Smaller Hash Families and Faster Evaluation. Electron. Colloquium Comput. Complex. 18 (2011)
L. Elisa Celis, Nikhil R. Devanur, Yuval Peres
Local Dynamics in Bargaining Networks via Random-Turn Games. WINE (2010)
Yossi Azar, Benjamin E. Birnbaum, L. Elisa Celis, Nikhil R. Devanur, Yuval Peres
Convergence of Local Dynamics to Balanced Outcomes in Exchange Networks CoRR (2009)
Yossi Azar, Benjamin E. Birnbaum, L. Elisa Celis, Nikhil R. Devanur, Yuval Peres
Convergence of Local Dynamics to Balanced Outcomes in Exchange Networks. FOCS (2009)