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Fairness

3337 directly classified papers

Papers per year

Papers

Fairness-Aware Demand Prediction for New Mobility AAAI 2020
Probabilistic Fair Clustering NIPS 2020
Sample Complexity of Uniform Convergence for Multicalibration NIPS 2020
Fairness in Streaming Submodular Maximization: Algorithms and Hardness NIPS 2020
Group-Fair Online Allocation in Continuous Time NIPS 2020
KFC: A Scalable Approximation Algorithm for $k$−center Fair Clustering NIPS 2020
A Fair Classifier Using Kernel Density Estimation NIPS 2020
Probably Approximately Correct Constrained Learning NIPS 2020
Fair Multiple Decision Making Through Soft Interventions NIPS 2020
Ensuring Fairness Beyond the Training Data NIPS 2020
How do fair decisions fare in long-term qualification? NIPS 2020
Security Analysis of Safe and Seldonian Reinforcement Learning Algorithms NIPS 2020
Learning Certified Individually Fair Representations NIPS 2020
Incorporating Interpretable Output Constraints in Bayesian Neural Networks NIPS 2020
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning NIPS 2020
Learning from Failure: De-biasing Classifier from Biased Classifier NIPS 2020
The State and Fate of Linguistic Diversity and Inclusion in the NLP World ACL 2020
Intra-Processing Methods for Debiasing Neural Networks NIPS 2020
“You are grounded!”: Latent Name Artifacts in Pre-trained Language Models EMNLP 2020
Fair regression via plug-in estimator and recalibration with statistical guarantees NIPS 2020
Identifying and Correcting Label Bias in Machine Learning AISTATS 2020
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification NIPS 2020
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours AAAI 2020
WEFE: The Word Embeddings Fairness Evaluation Framework IJCAI 2020
Impact of Politically Biased Data on Hate Speech Classification EMNLP 2020