Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: A Convex Framework for Fair Regression
A Confidence-Based Approach for Balancing Fairness and Accuracy
Themis-ml: A Fairness-aware Machine Learning Interface for End-to-end Discrimination Discovery and Mitigation
Equality of Opportunity in Supervised Learning
Algorithmic Bias: From Discrimination Discovery to Fairness-aware Data Mining
Measuring Fairness in Ranked Outputs
What About Applied Fairness?
Differentially Private Regression with Gaussian Processes
OR Forum - An Algorithmic Approach to Linear Regression
Automated Directed Fairness Testing
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity
Privacy-Preserving Ridge Regression on Hundreds of Millions of Records
Multisided Fairness for Recommendation
Fairness Without Demographics in Repeated Loss Minimization
Learning Fair Representations
WeBuildAI : Participatory Framework for Fair and Efficient Algorithmic Governance
A Partition-Based Framework for Building and Validating Regression Models
Ridge Regression Learning Algorithm in Dual Variables
Compressed and Privacy-Sensitive Sparse Regression
GRAPH-BASED REGULARIZATION FOR REGRESSION PROBLEMS WITH HIGHLY-CORRELATED DESIGNS
Fairness testing: testing software for discrimination
Certifying and Removing Disparate Impact
Digital Color Imaging
Simple Image Description Generator via a Linear Phrase-Based Approach
Biochemical and Clinical Assessments of Segmental Maxillary Posterior Tooth Intrusion
Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow