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Robustness Disparities in Commercial Face Detection


Aug 27, 2021
Samuel Dooley, Tom Goldstein, John P. Dickerson


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Pitfalls of Explainable ML: An Industry Perspective


Jun 14, 2021
Sahil Verma, Aditya Lahiri, John P. Dickerson, Su-In Lee

* Presented at JOURNE workshop at MLSYS 2021 (https://sites.google.com/view/workshop-journe/home

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Fair Clustering Under a Bounded Cost


Jun 14, 2021
Seyed A. Esmaeili, Brian Brubach, Aravind Srinivasan, John P. Dickerson


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A New Notion of Individually Fair Clustering: $α$-Equitable $k$-Center


Jun 09, 2021
Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili, Aravind Srinivasan, Leonidas Tsepenekas


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Amortized Generation of Sequential Counterfactual Explanations for Black-box Models


Jun 07, 2021
Sahil Verma, Keegan Hines, John P. Dickerson

* 19 pages, 3 figures, 4 tables 

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PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning


Jun 06, 2021
Neehar Peri, Michael J. Curry, Samuel Dooley, John P. Dickerson

* First two authors contributed equally 

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Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints


Mar 02, 2021
Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Aravind Srinivasan, Leonidas Tsepenekas

* This paper appeared in AAAI 2021 

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Using Inverse Optimization to Learn Cost Functions in Generalized Nash Games


Feb 24, 2021
Stephanie Allen, John P. Dickerson, Steven A. Gabriel


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Technical Challenges for Training Fair Neural Networks


Feb 12, 2021
Valeriia Cherepanova, Vedant Nanda, Micah Goldblum, John P. Dickerson, Tom Goldstein


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Noisy Labels Can Induce Good Representations


Dec 23, 2020
Jingling Li, Mozhi Zhang, Keyulu Xu, John P. Dickerson, Jimmy Ba

* 27 pages, 13 figures 

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ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning


Oct 13, 2020
Kevin Kuo, Anthony Ostuni, Elizabeth Horishny, Michael J. Curry, Samuel Dooley, Ping-yeh Chiang, Tom Goldstein, John P. Dickerson


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The Affiliate Matching Problem: On Labor Markets where Firms are Also Interested in the Placement of Previous Workers


Sep 24, 2020
Samuel Dooley, John P. Dickerson


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A Pairwise Fair and Community-preserving Approach to k-Center Clustering


Jul 14, 2020
Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Samir Khuller, Aravind Srinivasan, Leonidas Tsepenekas


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Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning


Jul 02, 2020
Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson

* 18 pages, 17 figures; Under review 

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Unifying Model Explainability and Robustness via Machine-Checkable Concepts


Jul 02, 2020
Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Muhammad Bilal Zafar

* 22 pages, 12 figures, 11 tables 

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Probabilistic Fair Clustering


Jun 19, 2020
Seyed A. Esmaeili, Brian Brubach, Leonidas Tsepenekas, John P. Dickerson


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Adapting a Kidney Exchange Algorithm to Align with Human Values


May 19, 2020
Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer

* Artificial Intelligence 283 (2020) 103261 

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Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours


Dec 18, 2019
Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan

* 8 pages, 4 figures, Accepted at AAAI 2020 & AIES (Oral) 2020 

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Human Comprehension of Fairness in Machine Learning


Dec 17, 2019
Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz


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Group Fairness in Bandit Arm Selection


Dec 09, 2019
Candice Schumann, Zhi Lang, Nicholas Mattei, John P. Dickerson


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Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare


Nov 30, 2019
Michael J. Curry, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yuhao Wan, Pan Xu


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Strong Baseline Defenses Against Clean-Label Poisoning Attacks


Sep 29, 2019
Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson

* First two authors contributed equally 

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Algorithms for Optimal Diverse Matching


Sep 10, 2019
Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark Fuge, Samir Khuller


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Making the Cut: A Bandit-based Approach to Tiered Interviewing


Jun 23, 2019
Candice Schumann, Zhi Lang, Jeffrey S. Foster, John P. Dickerson


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The Diverse Cohort Selection Problem


Aug 26, 2018
Candice Schumann, Samsara N. Counts, Jeffrey S. Foster, John P. Dickerson


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Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange


Sep 07, 2017
Duncan C. McElfresh, John P. Dickerson


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Diverse Weighted Bipartite b-Matching


Aug 15, 2017
Faez Ahmed, John P. Dickerson, Mark Fuge


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Learning to Schedule Deadline- and Operator-Sensitive Tasks


Jun 19, 2017
Hanan Rosemarin, John P. Dickerson, Sarit Kraus


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Operation Frames and Clubs in Kidney Exchange


May 25, 2017
Gabriele Farina, John P. Dickerson, Tuomas Sandholm

* Published at IJCAI-17 

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