Accepted Papers

• P12: Shortcomings of Counterfactual Fairness and a Proposed Modification Poster | Arxiv

Fabian Beigang (London School of Economics)

• P13: On the Fairness of Causal Algorithmic Recourse Poster | Arxiv

Julius von Kügelgen (MPI for Intelligent Systems, Tübingen & University of Cambridge)*; Umang Bhatt (University of Cambridge); Amir-Hossein Karimi (MPI for Intelligent Systems, Tübingen); Isabel Valera (MPI for Intelligent Systems); Adrian Weller (University of Cambridge); Bernhard Schölkopf (MPI for Intelligent Systems, Tübingen)

• P24: Exchanging Lessons Between Algorithmic Fairness and Domain Generalization Poster | Arxiv

Elliot Creager (University of Toronto)*; Joern-Henrik Jacobsen (Vector Institute); Richard Zemel (University of Toronto)

• P33: Algorithmic Approaches to Equal Opportunity and Affirmative Action via Counterfactual Predictions Poster | Arxiv

Yixin Wang (Columbia University)*; Dhanya Sridhar (Columbia University); David Blei (Columbia University)

• P16: A critique of the use of counterfactuals in fair machine learning Poster | Arxiv

Atoosa Kasirzadeh (University of Toronto and Australian National University)*; Andrew Smart (Google Inc.)

• P18: Towards Auditability for Fairness in Deep Learning Poster | Arxiv

Ivoline C. Ngong (Konya Technical University); Krystal Maughan (University of Vermont); Joseph Near (University of Vermont)*

• P26: Augmented Fairness: An Interpretable Model Augmenting Decision-Makers' Fairness Poster | Arxiv

Tong Wang (University of Iowa)*; Maytal Saar-Tsechansky ()

• P31: Debiasing Convolutional Neural Networks via Meta Orthogonalization Poster | Arxiv

Kurtis Evan A David (UT Austin)*; Ruth C Fong (University of Oxford); Qiang Liu (UT Austin)

• P11: The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets Poster | Arxiv

Vid Kocijan (University of Oxford)*; Oana-Maria Camburu (University of Oxford); Thomas Lukasiewicz (University of Oxford)

• P21: Selective Classification Can Magnify Disparities Across Groups Poster | Arxiv

Erik Jones (Stanford University )*; Shiori Sagawa (Stanford University); Pang Wei Koh (Stanford University); Ananya Kumar (Stanford University); Percy Liang (Stanford University)

• P23: Robust Fairness Under Covariate Shift Poster | Arxiv

Ashkan Rezaei (University of Illinois at Chicago)*; Anqi Liu (California Institute of Technology); Omid Memarrast (University of Illinois at Chicago); Brian Ziebart (UIC)

• P27: An example of prediction which complies with Demographic Parity and equalizes group-wise risks in the context of regression Poster | Arxiv

Nicolas Schreuder (CREST)*; Evgenii Chzhen (Université Paris-Saclay)

• P29: On Statistical Discrimination as a Failure of Social Learning: A Multi-Armed Bandit Approach Poster | Arxiv

Junpei Komiyama (New York University)*; Shunya Noda (University of British Columbia, Vancouver School of Economics)