19 Results

Poster
Tue 7:00 Collaborative Machine Learning with Incentive-Aware Model Rewards
Rachael Hwee Ling Sim, Yehong Zhang, Mun Choon Chan, Bryan Kian Hsiang Low
Poster
Tue 7:00 Fair Learning with Private Demographic Data
Hussein Mozannar, Mesrob Ohannessian, Nati Srebro
Poster
Tue 8:00 Detecting Out-of-Distribution Examples with Gram Matrices
Chandramouli Shama Sastry, Sageev Oore
Poster
Tue 8:00 Feature Noise Induces Loss Discrepancy Across Groups
Fereshte Khani, Percy Liang
Poster
Tue 9:00 Two Simple Ways to Learn Individual Fairness Metrics from Data
Debarghya Mukherjee, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun
Poster
Wed 5:00 Fair k-Centers via Maximum Matching
Matthew Jones, Huy Nguyen, Thy Nguyen
Poster
Wed 5:00 Data preprocessing to mitigate bias: A maximum entropy based approach
L. Elisa Celis, Vijay Keswani, Nisheeth K. Vishnoi
Poster
Wed 5:00 Causal Modeling for Fairness In Dynamical Systems
Elliot Creager, David Madras, Toniann Pitassi, Richard Zemel
Poster
Wed 5:00 Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics
Debjani Saha, Candice Schumann, Duncan McElfresh, John P Dickerson, Michelle Mazurek, Michael Tschantz
Poster
Wed 9:00 Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning
Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Bjorkegren, Moritz Hardt, Joshua Blumenstock
Poster
Wed 10:00 How to Solve Fair k-Center in Massive Data Models
Ashish Chiplunkar, Sagar Kale, Sivaramakrishnan Natarajan Ramamoorthy
Poster
Wed 11:00 DeBayes: a Bayesian Method for Debiasing Network Embeddings
Maarten Buyl, Tijl De Bie
Poster
Wed 12:00 Too Relaxed to Be Fair
Michael Lohaus, Michaƫl Perrot, Ulrike von Luxburg
Poster
Thu 6:00 FR-Train: A Mutual Information-Based Approach to Fair and Robust Training
Yuji Roh, Kangwook Lee, Steven Whang, Changho Suh
Poster
Thu 6:00 FACT: A Diagnostic for Group Fairness Trade-offs
Joon Kim, Jiahao Chen, Ameet Talwalkar
Poster
Thu 7:00 Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing
Sanghamitra Dutta, Dennis Wei, Hazar Yueksel, Pin-Yu Chen, Sijia Liu, Kush Varshney
Poster
Thu 8:00 Minimax Pareto Fairness: A Multi Objective Perspective
Natalia Martinez Gil, Martin Bertran, Guillermo Sapiro
Poster
Thu 9:00 Bounding the fairness and accuracy of classifiers from population statistics
Sivan Sabato, Elad Yom-Tov
Poster
Thu 15:00 Neural Network Control Policy Verification With Persistent Adversarial Perturbation
Yuh-Shyang Wang, Lily Weng, Luca Daniel