Jamie Morgenstern

John P. Dickerson

CoRR, 2024

2023

Initializing Services in Interactive ML Systems for Diverse Users.

[BibT_eX]

[DOI]

CoRR, 2023

Fair Active Learning in Low-Data Regimes.

[BibT_eX]

[DOI]

CoRR, 2023

Doubly Constrained Fair Clustering.

[BibT_eX]

[DOI]

CoRR, 2023

Scalable Membership Inference Attacks via Quantile Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distributionally Robust Data Join.

[BibT_eX]

[DOI]

Christopher Jung

Proceedings of the 4th Symposium on Foundations of Responsible Computing, 2023

Changing distributions and preferences in learning systems.

[BibT_eX]

[DOI]

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Evaluation of targeted dataset collection on racial equity in face recognition.

[BibT_eX]

[DOI]

Rachel Hong

Tadayoshi Kohno

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Multicalibrated Regression for Downstream Fairness.

[BibT_eX]

[DOI]

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Active Learning with Safety Constraints.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-learner risk reduction under endogenous participation dynamics.

[BibT_eX]

[DOI]

CoRR, 2022

Optimal Spend Rate Estimation and Pacing for Ad Campaigns with Budgets.

[BibT_eX]

[DOI]

Bhuvesh Kumar

Okke Schrijvers

CoRR, 2022

Preference Dynamics Under Personalized Recommendations.

[BibT_eX]

[DOI]

Sarah Dean

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Individual Preference Stability for Clustering.

[BibT_eX]

[DOI]

Saba Ahmadi

Samir Khuller

Pattara Sukprasert

Ali Vakilian

Proceedings of the International Conference on Machine Learning, 2022

Active Sampling for Min-Max Fairness.

[BibT_eX]

[DOI]

Jacob D. Abernethy

Chris Russell

Jie Zhang

Proceedings of the International Conference on Machine Learning, 2022

2021

Auctions and Prediction Markets for Scientific Peer Review.

[BibT_eX]

[DOI]

Siddarth Srinivasan

CoRR, 2021

Datasheets for datasets.

[BibT_eX]

[DOI]

Timnit Gebru

Briana Vecchione

Jennifer Wortman Vaughan

Hanna M. Wallach

Hal Daumé III

Kate Crawford

Commun. ACM, 2021

Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information.

[BibT_eX]

[DOI]

Alex Beutel

Xuezhi Wang

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

2020

Adaptive Sampling to Reduce Disparate Performance.

[BibT_eX]

[DOI]

Jacob D. Abernethy

Jie Zhang

CoRR, 2020

A Notion of Individual Fairness for Clustering.

[BibT_eX]

[DOI]

CoRR, 2020

Competition Alleviates Present Bias in Task Completion.

[BibT_eX]

[DOI]

Aditya Saraf

Anna R. Karlin

Proceedings of the Web and Internet Economics - 16th International Conference, 2020

Equalized odds postprocessing under imperfect group information.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Diversity and Inclusion Metrics in Subset Selection.

[BibT_eX]

[DOI]

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

2019

Effectiveness of Equalized Odds for Fair Classification under Imperfect Group Information.

[BibT_eX]

[DOI]

CoRR, 2019

Fair Dimensionality Reduction and Iterative Rounding for SDPs.

[BibT_eX]

[DOI]

Uthaipon Tao Tantipongpipat

Samira Samadi

Mohit Singh

Santosh S. Vempala

CoRR, 2019

Predictive Inequity in Object Detection.

[BibT_eX]

[DOI]

Benjamin Wilson

Judy Hoffman

CoRR, 2019

On the Compatibility of Privacy and Fairness.

[BibT_eX]

[DOI]

Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

Multi-Criteria Dimensionality Reduction with Applications to Fairness.

[BibT_eX]

[DOI]

Uthaipon Tantipongpipat

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Auctions with Robust Incentive Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Network Formation under Random Attack and Probabilistic Spread.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning.

[BibT_eX]

[DOI]

Ángel Alexander Cabrera

Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019

Guarantees for Spectral Clustering with Fairness Constraints.

[BibT_eX]

[DOI]

Samira Samadi

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

Fair k-Center Clustering for Data Summarization.

[BibT_eX]

[DOI]

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

2018

Private Pareto Optimal Exchange.

[BibT_eX]

[DOI]

ACM Trans. Economics and Comput., 2018

Learning What's Going on: Reconstructing Preferences and Priorities from Opaque Transactions.

[BibT_eX]

[DOI]

Avrim Blum

Yishay Mansour

Uthaipon Tao Tantipongpipat

ACM Trans. Economics and Comput., 2018

The Price of Fair PCA: One Extra dimension.

[BibT_eX]

[DOI]

Samira Samadi

Mohit Singh

Santosh S. Vempala

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Meritocratic Fairness for Infinite and Contextual Bandits.

[BibT_eX]

[DOI]

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

2017

A Convex Framework for Fair Regression.

[BibT_eX]

[DOI]

CoRR, 2017

Fairness Incentives for Myopic Agents.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM Conference on Economics and Computation, 2017

Fairness in Reinforcement Learning.

[BibT_eX]

[DOI]

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

2016

Do prices coordinate markets?

[BibT_eX]

[DOI]

SIGecom Exch., 2016

Rawlsian Fairness for Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2016

Fair Learning in Markovian Environments.

[BibT_eX]

[DOI]

CoRR, 2016

Simple Auctions For Agents With Complements.

[BibT_eX]

[DOI]

CoRR, 2016

Strategic Network Formation with Attack and Immunization.

[BibT_eX]

[DOI]

Proceedings of the Web and Internet Economics - 12th International Conference, 2016

Simple Mechanisms for Agents with Complements.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

Fairness in Learning: Classic and Contextual Bandits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning Simple Auctions.

[BibT_eX]

[DOI]

Tim Roughgarden

Proceedings of the 29th Conference on Learning Theory, 2016

2015

The Pseudo-Dimension of Near-Optimal Auctions.

[BibT_eX]

[DOI]

Tim Roughgarden

CoRR, 2015

Approximately Stable, School Optimal, and Student-Truthful Many-to-One Matchings (via Differential Privacy).

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 2015

Simple Auctions with Simple Strategies.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015

On the Pseudo-Dimension of Nearly Optimal Auctions.

[BibT_eX]

[DOI]

Tim Roughgarden

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Privacy-Preserving Public Information for Sequential Games.

[BibT_eX]

[DOI]

Proceedings of the 2015 Conference on Innovations in Theoretical Computer Science, 2015

Impartial Peer Review.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Learning Valuation Distributions from Partial Observation.

[BibT_eX]

[DOI]

Avrim Blum

Yishay Mansour

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013

Draft Auctions.

[BibT_eX]

[DOI]

Nikhil R. Devanur

Vasilis Syrgkanis

CoRR, 2013

Hierarchical community decomposition via oblivious routing techniques.

[BibT_eX]

[DOI]

Proceedings of the Conference on Online Social Networks, 2013

How Bad Is Selfish Voting?

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Additive Approximation for Near-Perfect Phylogeny Construction.

[BibT_eX]

[DOI]

Proceedings of the Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, 2012

On Maxsum Fair Cake Divisions.

[BibT_eX]

[DOI]

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

2011

A Proof-Carrying File System with Revocable and Use-Once Certificates.

[BibT_eX]

[DOI]

Deepak Garg

Frank Pfenning

Proceedings of the Security and Trust Management - 7th International Workshop, 2011

2010

Security-typed programming within dependently typed programming.

[BibT_eX]

[DOI]