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Fairness

3,511 papers

Papers per year

251
692
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'25

Papers

On Second-Order Group Influence Functions for Black-Box Predictions ICML 2020
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits ICML 2020
Adversarial Filters of Dataset Biases ICML 2020
A Pairwise Fair and Community-preserving Approach to k-Center Clustering ICML 2020
DeBayes: a Bayesian Method for Debiasing Network Embeddings ICML 2020
Data preprocessing to mitigate bias: A maximum entropy based approach ICML 2020
How to Solve Fair k-Center in Massive Data Models ICML 2020
Fair Generative Modeling via Weak Supervision ICML 2020
Causal Modeling for Fairness In Dynamical Systems ICML 2020
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing ICML 2020
Do We Need Zero Training Loss After Achieving Zero Training Error? ICML 2020
Fair k-Centers via Maximum Matching ICML 2020
Feature Noise Induces Loss Discrepancy Across Groups ICML 2020
FACT: A Diagnostic for Group Fairness Trade-offs ICML 2020
Too Relaxed to Be Fair ICML 2020
Individual Fairness for k-Clustering ICML 2020
Minimax Pareto Fairness: A Multi Objective Perspective ICML 2020
Predictive Multiplicity in Classification ICML 2020
Two Simple Ways to Learn Individual Fairness Metrics from Data ICML 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training ICML 2020
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning ICML 2020
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing ICML 2020
Bounding the fairness and accuracy of classifiers from population statistics ICML 2020
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics ICML 2020
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards ICML 2020