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Poster
Thu 15:00 Neural Network Control Policy Verification With Persistent Adversarial Perturbation
Yuh-Shyang Wang · Tsui-Wei Weng · Luca Daniel
Poster
Wed 5:00 Data preprocessing to mitigate bias: A maximum entropy based approach
L. Elisa Celis · Vijay Keswani · Nisheeth K. Vishnoi
Poster
Thu 6:00 A Pairwise Fair and Community-preserving Approach to k-Center Clustering
Brian Brubach · Darshan Chakrabarti · John P Dickerson · Samir Khuller · Aravind Srinivasan · Leonidas Tsepenekas
Poster
Wed 13:00 Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge
Laura Rieger · Chandan Singh · William Murdoch · Bin Yu
Poster
Wed 11:00 DeBayes: a Bayesian Method for Debiasing Network Embeddings
Maarten Buyl · Tijl De Bie
Poster
Wed 10:00 How to Solve Fair k-Center in Massive Data Models
Ashish Chiplunkar · Sagar Kale · Sivaramakrishnan Natarajan Ramamoorthy
Poster
Wed 5:00 Causal Modeling for Fairness In Dynamical Systems
Elliot Creager · David Madras · Toniann Pitassi · Richard Zemel
Poster
Thu 9:00 Bounding the fairness and accuracy of classifiers from population statistics
Sivan Sabato · Elad Yom-Tov
Poster
Tue 7:00 Individual Fairness for k-Clustering
Sepideh Mahabadi · Ali Vakilian
Poster
Wed 8:00 Individual Calibration with Randomized Forecasting
Shengjia Zhao · Tengyu Ma · Stefano Ermon
Poster
Wed 12:00 Too Relaxed to Be Fair
Michael Lohaus · MichaĆ«l Perrot · Ulrike von Luxburg
Poster
Tue 8:00 Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards
Umer Siddique · Paul Weng · Matthieu Zimmer