The following pages link to (Q5381130):
Displaying 36 items.
- Achieving fair treatment in algorithmic classification (Q1629438) (← links)
- Model-based and actual independence for fairness-aware classification (Q1741377) (← links)
- How do fairness definitions fare? Testing public attitudes towards three algorithmic definitions of fairness in loan allocations (Q1989393) (← links)
- Fairness in credit scoring: assessment, implementation and profit implications (Q2060424) (← links)
- Achieving fairness with a simple ridge penalty (Q2080355) (← links)
- Fairness in learning-based sequential decision algorithms: a survey (Q2094049) (← links)
- Wasserstein-based fairness interpretability framework for machine learning models (Q2102385) (← links)
- Efficient fair principal component analysis (Q2102413) (← links)
- Provably training overparameterized neural network classifiers with non-convex constraints (Q2106783) (← links)
- FairDEA -- removing disparate impact from efficiency scores (Q2140298) (← links)
- Adaptive primal-dual stochastic gradient method for expectation-constrained convex stochastic programs (Q2146450) (← links)
- Augmented Lagrangian optimization under fixed-point arithmetic (Q2208540) (← links)
- Matching code and law: achieving algorithmic fairness with optimal transport (Q2218406) (← links)
- Credit scoring with drift adaptation using local regions of competence (Q2677348) (← links)
- Fairness through awareness (Q2826058) (← links)
- Difficulties in Forcing Fairness of Polynomial Time Inductive Inference (Q3648757) (← links)
- Ranking with Fairness Constraints (Q5002698) (← links)
- (Q5053197) (← links)
- Inherent tradeoffs in learning fair representations (Q5054675) (← links)
- Impact of Imputation Strategies on Fairness in Machine Learning (Q5094049) (← links)
- First-Order Methods for Problems with $O$(1) Functional Constraints Can Have Almost the Same Convergence Rate as for Unconstrained Problems (Q5097011) (← links)
- Learning Optimized Risk Scores (Q5214243) (← links)
- Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals (Q5214272) (← links)
- (Q5381130) (← links)
- Beyond submodularity: a unified framework of randomized set selection with group fairness constraints (Q6039536) (← links)
- Enforcing fairness using ensemble of diverse Pareto-optimal models (Q6052263) (← links)
- Fairness improvement for black-box classifiers with Gaussian process (Q6066141) (← links)
- An adaptive sampling augmented Lagrangian method for stochastic optimization with deterministic constraints (Q6072951) (← links)
- A Joint Fairness Model with Applications to Risk Predictions for Underrepresented Populations (Q6079773) (← links)
- A fair classifier chain for multi‐label bank marketing strategy classification (Q6079895) (← links)
- Adversarial learning for counterfactual fairness (Q6106421) (← links)
- FAC-fed: federated adaptation for fairness and concept drift aware stream classification (Q6134343) (← links)
- Synthesizing Fair Decision Trees via Iterative Constraint Solving (Q6487342) (← links)
- Probabilistic Verification of Neural Networks Against Group Fairness (Q6488462) (← links)
- Monitoring algorithmic fairness (Q6535545) (← links)
- Mini-batch stochastic subgradient for functional constrained optimization (Q6565290) (← links)
