L. Elisa Celis

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Centralized Selection with Preferences in the Presence of Biases.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Bias in Evaluation Processes: An Optimization-Based Model.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Designing Closed-Loop Models for Task Allocation.

[BibT_eX]

[DOI]

Krishnaram Kenthapadi

Matthew Lease

Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

Addressing Strategic Manipulation Disparities in Fair Classification.

[BibT_eX]

[DOI]

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

2022

Revisiting Group Fairness Metrics: The Effect of Networks.

[BibT_eX]

[DOI]

Jeff Sachs

Proc. ACM Hum. Comput. Interact., 2022

Diverse Representation via Computational Participatory Elections - Lessons from a Case Study.

[BibT_eX]

[DOI]

Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

2021

Dialect Diversity in Text Summarization on Twitter.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Fair Classification with Adversarial Perturbations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Mitigating Bias in Set Selection with Noisy Protected Attributes.

[BibT_eX]

[DOI]

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

The Effect of the Rooney Rule on Implicit Bias in the Long Term.

[BibT_eX]

[DOI]

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Implicit Diversity in Image Summarization.

[BibT_eX]

[DOI]

Proc. ACM Hum. Comput. Interact., 2020

Fair Classification with Noisy Protected Attributes.

[BibT_eX]

[DOI]

CoRR, 2020

Data preprocessing to mitigate bias: A maximum entropy based approach.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Interventions for ranking in the presence of implicit bias.

[BibT_eX]

[DOI]

Proceedings of the FAT* '20: Conference on Fairness, 2020

Towards Just, Fair and Interpretable Methods for Judicial Subset Selection.

[BibT_eX]

[DOI]

Julia Wei

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

A General Framework for Sensor Placement in Source Localization.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Fair Online Advertising.

[BibT_eX]

[DOI]

CoRR, 2019

Improved Adversarial Learning for Fair Classification.

[BibT_eX]

[DOI]

CoRR, 2019

A dashboard for controlling polarization in personalization.

[BibT_eX]

[DOI]

AI Commun., 2019

Assessing Social and Intersectional Biases in Contextualized Word Representations.

[BibT_eX]

[DOI]

Yi Chern Tan

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.

[BibT_eX]

[DOI]

Xavier Alameda-Pineda

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Toward Controlling Discrimination in Online Ad Auctions.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Controlling Polarization in Personalization: An Algorithmic Framework.

[BibT_eX]

[DOI]

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Coordinate Descent with Bandit Sampling.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multiwinner Voting with Fairness Constraints.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Fair and Diverse DPP-Based Data Summarization.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Ranking with Fairness Constraints.

[BibT_eX]

[DOI]

Damian Straszak

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.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

Stochastic Dual Coordinate Descent with Bandit Sampling.

[BibT_eX]

[DOI]

CoRR, 2017

Group Fairness in Multiwinner Voting.

[BibT_eX]

[DOI]

CoRR, 2017

Stochastic Optimization with Bandit Sampling.

[BibT_eX]

[DOI]

CoRR, 2017

Fair Personalization.

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

Aida Sadat Mousavifar

CoRR, 2017

The effect of transmission variance on observer placement for source-localization.

[BibT_eX]

[DOI]

Appl. Netw. Sci., 2017

Back To The Source: An Online Approach for Sensor Placement and Source Localization.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web, 2017

A Dynamics for Advertising on Networks.

[BibT_eX]

[DOI]

Mina Dalirrooyfard

Proceedings of the Web and Internet Economics - 13th International Conference, 2017

A Distributed Learning Dynamics in Social Groups.

[BibT_eX]

[DOI]

Peter M. Krafft

Proceedings of the ACM Symposium on Principles of Distributed Computing, 2017

Dictionary Learning Based on Sparse Distribution Tomography.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

On the Complexity of Constrained Determinantal Point Processes.

[BibT_eX]

[DOI]

Proceedings of the Approximation, 2017

2016

How to be Fair and Diverse?

[BibT_eX]

[DOI]

CoRR, 2016

Sequential Voting Promotes Collective Discovery in Social Recommendation Systems.

[BibT_eX]

[DOI]

Peter M. Krafft

Nathan Kobe

Proceedings of the Tenth International Conference on Web and Social Media, 2016

Assignment Techniques for Crowdsourcing Sensitive Tasks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

Crowds of Crowds: Performance based Modeling and Optimization over Multiple Crowdsourcing Platforms.

[BibT_eX]

[DOI]

Sakyajit Bhattacharya

Hum. Comput., 2015

Budgeted sensor placement for source localization on trees.

[BibT_eX]

[DOI]

Electron. Notes Discret. Math., 2015

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

[BibT_eX]

[DOI]

Aida Sadat Mousavifar

CoRR, 2015

2014

Buy-It-Now or Take-a-Chance: Price Discrimination Through Randomized Auctions.

[BibT_eX]

[DOI]

Manag. Sci., 2014

Post It or Not: Viewership Based Posting of Crowdsourced Tasks.

[BibT_eX]

[DOI]

Sakyajit Bhattacharya

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Adaptive Performance Optimization over Crowd Labor Channels.

[BibT_eX]

[DOI]

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

CrowdUtility: A Recommendation System for Crowdsourcing Platforms.

[BibT_eX]

[DOI]

Deepthi Chander

Sakyajit Bhattacharya

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

2013

Balls and Bins: Smaller Hash Families and Faster Evaluation.

[BibT_eX]

[DOI]

SIAM J. Comput., 2013

Adaptive crowdsourcing for temporal crowds.

[BibT_eX]

[DOI]

Koustuv Dasgupta

Vaibhav Rajan

Proceedings of the 22nd International World Wide Web Conference, 2013

On Revenue Maximization for Agents with Costly Information Acquisition - Extended Abstract.

[BibT_eX]

[DOI]

Dimitrios C. Gklezakos

Anna R. Karlin

Proceedings of the Automata, Languages, and Programming - 40th International Colloquium, 2013

Lottery-Based Payment Mechanism for Microtasks.

[BibT_eX]

[DOI]

Shourya Roy

Vivek Mishra

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.

[BibT_eX]

[DOI]

Laura Elisa Celis

PhD thesis, 2012

Approximately Revenue-Maximizing Auctions for Deliberative Agents.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Buy-it-now or take-a-chance: a simple sequential screening mechanism.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on World Wide Web, 2011

2010

Local Dynamics in Bargaining Networks via Random-Turn Games.

[BibT_eX]

[DOI]