L. Elisa Celis

Orcid: 0000-0003-2672-7569

According to our database1, L. Elisa Celis authored at least 67 papers between 2009 and 2024.

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Bibliography

2024
Fair Classification with Partial Feedback: An Exploration-Based Data-Collection Approach.
CoRR, 2024

2023
Bias in Evaluation Processes: An Optimization-Based Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions.
Proceedings of the International Conference on Machine Learning, 2023

Designing Closed-Loop Models for Task Allocation.
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

Addressing Strategic Manipulation Disparities in Fair Classification.
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

2022
Revisiting Group Fairness Metrics: The Effect of Networks.
Proc. ACM Hum. Comput. Interact., 2022

Diverse Representation via Computational Participatory Elections - Lessons from a Case Study.
Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

2021
Dialect Diversity in Text Summarization on Twitter.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Fair Classification with Adversarial Perturbations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Auditing for Diversity Using Representative Examples.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees.
Proceedings of the 38th International Conference on Machine Learning, 2021

Mitigating Bias in Set Selection with Noisy Protected Attributes.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

The Effect of the Rooney Rule on Implicit Bias in the Long Term.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020
Implicit Diversity in Image Summarization.
Proc. ACM Hum. Comput. Interact., 2020

Fair Classification with Noisy Protected Attributes.
CoRR, 2020

Data preprocessing to mitigate bias: A maximum entropy based approach.
Proceedings of the 37th International Conference on Machine Learning, 2020

Interventions for ranking in the presence of implicit bias.
Proceedings of the FAT* '20: Conference on Fairness, 2020

Towards Just, Fair and Interpretable Methods for Judicial Subset Selection.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019
A General Framework for Sensor Placement in Source Localization.
IEEE Trans. Netw. Sci. Eng., 2019

Fair Distributions from Biased Samples: A Maximum Entropy Optimization Framework.
CoRR, 2019

Fair Online Advertising.
CoRR, 2019

Improved Adversarial Learning for Fair Classification.
CoRR, 2019

A dashboard for controlling polarization in personalization.
AI Commun., 2019

Assessing Social and Intersectional Biases in Contextualized Word Representations.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

FAT/MM'19: 1st International Workshop on Fairness, Accountability, and Transparency in MultiMedia.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Toward Controlling Discrimination in Online Ad Auctions.
Proceedings of the 36th International Conference on Machine Learning, 2019

Controlling Polarization in Personalization: An Algorithmic Framework.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2018
An Algorithmic Framework to Control Bias in Bandit-based Personalization.
CoRR, 2018

Coordinate Descent with Bandit Sampling.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Balanced News Using Constrained Bandit-based Personalization.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multiwinner Voting with Fairness Constraints.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Fair and Diverse DPP-Based Data Summarization.
Proceedings of the 35th International Conference on Machine Learning, 2018

Ranking with Fairness Constraints.
Proceedings of the 45th International Colloquium on Automata, Languages, and Programming, 2018

How Many Sensors to Localize the Source? The Double Metric Dimension of Random Networks.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Stochastic Dual Coordinate Descent with Bandit Sampling.
CoRR, 2017

Group Fairness in Multiwinner Voting.
CoRR, 2017

Stochastic Optimization with Bandit Sampling.
CoRR, 2017

Fair Personalization.
CoRR, 2017

Lean From Thy Neighbor: Stochastic & Adversarial Bandits in a Network.
CoRR, 2017

A Model for Information Networks: Efficiency, Stability and Dynamics.
CoRR, 2017

The effect of transmission variance on observer placement for source-localization.
Appl. Netw. Sci., 2017

Back To The Source: An Online Approach for Sensor Placement and Source Localization.
Proceedings of the 26th International Conference on World Wide Web, 2017

A Dynamics for Advertising on Networks.
Proceedings of the Web and Internet Economics - 13th International Conference, 2017

A Distributed Learning Dynamics in Social Groups.
Proceedings of the ACM Symposium on Principles of Distributed Computing, 2017

Dictionary Learning Based on Sparse Distribution Tomography.
Proceedings of the 34th International Conference on Machine Learning, 2017

On the Complexity of Constrained Determinantal Point Processes.
Proceedings of the Approximation, 2017

2016
How to be Fair and Diverse?
CoRR, 2016

Sequential Voting Promotes Collective Discovery in Social Recommendation Systems.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Assignment Techniques for Crowdsourcing Sensitive Tasks.
Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, 2016

Observer placement for source localization: The effect of budgets and transmission variance.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
Crowds of Crowds: Performance based Modeling and Optimization over Multiple Crowdsourcing Platforms.
Hum. Comput., 2015

Budgeted sensor placement for source localization on trees.
Electron. Notes Discret. Math., 2015

A Model for Social Network Formation: Efficiency, Stability and Dynamics.
CoRR, 2015

2014
Buy-It-Now or Take-a-Chance: Price Discrimination Through Randomized Auctions.
Manag. Sci., 2014

Post It or Not: Viewership Based Posting of Crowdsourced Tasks.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Adaptive Performance Optimization over Crowd Labor Channels.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

CrowdUtility: A Recommendation System for Crowdsourcing Platforms.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

2013
Adaptive crowdsourcing for temporal crowds.
Proceedings of the 22nd International World Wide Web Conference, 2013

On Revenue Maximization for Agents with Costly Information Acquisition - Extended Abstract.
Proceedings of the Automata, Languages, and Programming - 40th International Colloquium, 2013

Lottery-Based Payment Mechanism for Microtasks.
Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

2012
Information Economics in the Age of e-Commerce: Models and Mechanisms for Information-Rich Markets.
PhD thesis, 2012

Approximately Revenue-Maximizing Auctions for Deliberative Agents.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Balls and Bins: Smaller Hash Families and Faster Evaluation.
Electron. Colloquium Comput. Complex., 2011

Buy-it-now or take-a-chance: a simple sequential screening mechanism.
Proceedings of the 20th International Conference on World Wide Web, 2011

2010
Local Dynamics in Bargaining Networks via Random-Turn Games.
Proceedings of the Internet and Network Economics - 6th International Workshop, 2010

2009
Convergence of Local Dynamics to Balanced Outcomes in Exchange Networks.
Proceedings of the 50th Annual IEEE Symposium on Foundations of Computer Science, 2009


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