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Found 6 papers, 1 papers with code
Evacuation Shelter Scheduling Problem
In this study, we formulate the "Evacuation Shelter Scheduling Problem," which allocates evacuees to shelters in such a way to minimize the movement costs of the evacuees and the operation costs of the shelters.
Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint
To avoid restrictive functional assumptions, we define the {\it probability of individual unfairness} (PIU) and solve an optimization problem where PIU's upper bound, which can be estimated from data, is controlled to be close to zero.
Partial AUC Maximization via Nonlinear Scoring Functions
In binary classification tasks, accuracy is the most commonly used as a measure of classifier performance.
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms
Polynomial networks and factorization machines are two recently-proposed models that can efficiently use feature interactions in classification and regression tasks.
Higher-Order Factorization Machines
Factorization machines (FMs) are a supervised learning approach that can use second-order feature combinations even when the data is very high-dimensional.
