Pages that link to "Item:Q2090124"
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The following pages link to Accuracy and fairness trade-offs in machine learning: a stochastic multi-objective approach (Q2090124):
Displaying 7 items.
- A minimax framework for quantifying risk-fairness trade-off in regression (Q2091849) (← links)
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data (Q2138799) (← links)
- An online convex optimization-based framework for convex bilevel optimization (Q2693650) (← links)
- (Q5053197) (← links)
- Enforcing fairness using ensemble of diverse Pareto-optimal models (Q6052263) (← links)
- Fairness improvement for black-box classifiers with Gaussian process (Q6066141) (← links)
- The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning (Q6601525) (← links)
