Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: An Empirical Study of Rich Subgroup Fairness for Machine Learning
Equality of Opportunity in Supervised Learning
Model-Based Recursive Partitioning for Subgroup Analyses
RUSBoost: A Hybrid Approach to Alleviating Class Imbalance
Jubatus : An Open Source Platform for Distributed Online Machine Learning
WeBuildAI : Participatory Framework for Fair and Efficient Algorithmic Governance
Cost-Sensitive Learning and the Class Imbalance Problem
Unbiased Learning to Rank with Unbiased Propensity Estimation
Scaling Distributed Machine Learning with System and Algorithm Co-design
Data mining with imbalanced class distributions: concepts and methods.
Random Balance : Ensembles of variable priors classifiers for imbalanced data
Regroup: interactive machine learning for on-demand group creation in social networks
Choosy: max-min fair sharing for datacenter jobs with constraints
Spliddit: unleashing fair division algorithms
DATA MINING FOR IMBALANCED DATASETS: AN OVERVIEW
Comparing Fairness Criteria Based on Social Outcome
Probably Approximately Metric-Fair Learning
Adaptive submodularity: A new approach to active learning and stochastic optimization
Quantifying explainable discrimination and removing illegal discrimination in automated decision making
Discriminative Metric Learning by Neighborhood Gerrymandering
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification
bidding algorithms for simultaneous auctions .
Cardiovascular prevention guidelines in daily practice: a comparison of EUROASPIRE I, II, and III surveys in eight European countries
Two-dimensional PCA: a new approach to appearance-based face representation and recognition
Preliminary Results On CP-Violating Phenomena In The Ktev Experiment At Fermilab
Fairness-aware Learning through Regularization Approach