Accepted Papers

Stochastic Differentially Private and Fair Learning

Andrew Lowy · Devansh Gupta · Meisam Razaviyayn

Tensions Between the Proxies of Human Values in AI

Teresa Datta · Daniel Nissani · Max Cembalest · Akash Khanna · Haley Massa · John Dickerson

Disparate Impact in Differential Privacy from Gradient Misalignment 

Maria Esipova · Atiyeh Ashari · Yaqiao Luo · Jesse Cresswell

Causality for Temporal Unfairness Evaluation and Mitigation 

Aida Rahmattalabi · Alice Xiang

Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes 

Tennison Liu · Alex Chan · Boris van Breugel · Mihaela van der Schaar

Causal Discovery for Fairness 

Ruta Binkyte-Sadauskiene · Karima Makhlouf · Carlos Pinzon · Sami Zhioua · Catuscia Palamidessi

Bias Mitigation Framework for Intersectional Subgroups in Neural Networks 

Narine Kokhlikyan · Bilal Alsallakh · Fulton Wang · Vivek Miglani · Aobo Yang · David Adkins

A Closer Look at the Calibration of Differential Private Learners 

Hanlin Zhang · Xuechen (Chen) Li · Prithviraj Sen · Salim Roukos · Tatsunori Hashimoto

Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity 

Faisal Hamman · Jiahao Chen · Sanghamitra Dutta

I Prefer not to Say – Operationalizing Fair and User-guided Data Minimization 

Tobias Leemann · Martin Pawelczyk · Christian Eberle · Gjergji Kasneci

Minimax Optimal Fair Regression under Linear Model 

Kazuto Fukuchi · Jun Sakuma

A Deep Dive into Dataset Imbalance and Bias in Face Identification 

Valeriia Cherepanova · Steven Reich · Samuel Dooley · Hossein Souri · John Dickerson · Micah Goldblum · Tom Goldstein

Pragmatic Fairness: Optimizing Policies with Outcome Disparity Control 

Limor Gultchin · Siyuan Guo · Alan Malek · Silvia Chiappa · Ricardo Silva

"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning 

Marc Juarez · Aleksandra Korolova

Privacy Aware Experimentation over Sensitive Groups: A General Chi Square Approach 

Rina Friedberg · Ryan Rogers

When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes 

Canyu Chen · Yueqing Liang · Xiongxiao Xu · Shangyu Xie · Yuan Hong · Kai Shu

Fairness Certificates for Differentially Private Classification 

Paul Mangold · Michaël Perrot · Marc Tommasi · Aurélien Bellet

Conditional Demographic Parity Through Optimal Transport 

Luhao Zhang · Mohsen Ghassemi · Ivan Brugere · Niccolo Dalmasso · Alan Mishler · Vamsi Potluru · Tucker Balch · Manuela Veloso

Adjusting the Gender Wage Gap with a Low-Dimensional Representation of Job History

Keyon Vafa · Susan Athey · David Blei

Privacy-Preserving Group Fairness in Cross-Device Federated Learning 

Sikha Pentyala · Nicola Neophytou · Anderson Nascimento · Martine De Cock · Golnoosh Farnadi

Predictive Multiplicity in Probabilistic Classification 

Jamelle Watson-Daniels · David Parkes · Berk Ustun

Learning Counterfactually Invariant Predictors

Francesco Quinzan, Cecilia Casolo, Krikamol Muandet, Niki Kilbertus,  Yucen Luo

Counterfactual Risk Assessments under Unmeasured Confounding 

Amanda Coston · Edward Kennedy · Ashesh Rambachan

Perception as a Fairness Parameter 

Jose M. Alvarez · Mayra Russo

Causal Fairness for Affect Recognition

Jiaee Cheong · Sinan Kalkan · Hatice Gunes

Simple improvements for better measuring private model disparities

Hanwen Shen · Soham De · Sam Smith · Jamie Hayes · Leonard Berrada · David Stutz · Borja De Balle Pigem

Towards a genealogical approach to explaining algorithmic bias

Marta Ziosi

Addressing observational biases in algorithmic fairness assessments 

Chirag Nagpal · Olawale Salaudeen · Sanmi Koyejo · Stephen Pfohl

Parity in predictive performance is neither necessary nor sufficient for fairness

Justin Engelmann · Miguel Bernabeu · Amos Storkey

Caused by Race or Caused by Racism? Limitations in Envisioning Fair Counterfactuals 

Evan Dong

Can Causal (or Counterfactual) Representations benefit from Quantum Computing? 

Rakshit Naidu · Daniel Justice

A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making 

Linying Zhang · Lauren Richter · Yixin Wang · Anna Ostropolets · Noemie Elhadad · David Blei · George Hripcsak

Counterfactual Situation Testing: Fairness given the Difference

Jose M. Alvarez, Salvatore Ruggieri

Equality of Effort via Algorithmic Recourse 

Francesca E. D. Raimondi, Andrew R. Lawrence, Hana Chockler

Fairness of Interaction in Ranking under Exposure, Selection, and Trust Bias

Zohreh Ovaisi · Parsa Saadatpanah · Shahin Sefati · Mesrob Ohannessian · Elena Zheleva

Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors 

Zeyu Tang · Yatong Chen · Yang Liu · Kun Zhang