FROC: Building Fair ROC from a Trained Classifier
Fuente:
arXiv
Saved in:
| Main Authors: | Vummintala, Avyukta Manjunatha, Das, Shantanu, Gujar, Sujit |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal Strategies for Federated Learning Maintaining Client Privacy
by: Bhaskar, Uday, et al.
Published: (2025)
by: Bhaskar, Uday, et al.
Published: (2025)
FLIGHT: Facility Location Integrating Generalized, Holistic Theory of Welfare
by: Vummintala, Avyukta Manjunatha, et al.
Published: (2025)
by: Vummintala, Avyukta Manjunatha, et al.
Published: (2025)
Fairness and Privacy Guarantees in Federated Contextual Bandits
by: Solanki, Sambhav, et al.
Published: (2024)
by: Solanki, Sambhav, et al.
Published: (2024)
Fairness of Exposure in Online Restless Multi-armed Bandits
by: Sood, Archit, et al.
Published: (2024)
by: Sood, Archit, et al.
Published: (2024)
Towards Fairness in Provably Communication-Efficient Federated Recommender Systems
by: Kaur, Kirandeep, et al.
Published: (2024)
by: Kaur, Kirandeep, et al.
Published: (2024)
Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits
by: Pokhriyal, Subham, et al.
Published: (2024)
by: Pokhriyal, Subham, et al.
Published: (2024)
FROC: A Unified Framework with Risk-Optimized Control for Machine Unlearning in LLMs
by: Goh, Si Qi, et al.
Published: (2025)
by: Goh, Si Qi, et al.
Published: (2025)
SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers
by: Siegl, Tom, et al.
Published: (2025)
by: Siegl, Tom, et al.
Published: (2025)
Multiclass ROC
by: Wang, Liang, et al.
Published: (2024)
by: Wang, Liang, et al.
Published: (2024)
Linear Strategic Classification with Endogenous Improvements
by: Shrivastava, Siddharth, et al.
Published: (2026)
by: Shrivastava, Siddharth, et al.
Published: (2026)
Learning Counterfactually Fair Models via Improved Generation with Neural Causal Models
by: Kher, Krishn Vishwas, et al.
Published: (2025)
by: Kher, Krishn Vishwas, et al.
Published: (2025)
Knee or ROC
by: Wendt, Veronica, et al.
Published: (2024)
by: Wendt, Veronica, et al.
Published: (2024)
A Multiclass ROC Curve
by: Giudici, Paolo, et al.
Published: (2025)
by: Giudici, Paolo, et al.
Published: (2025)
No Transaction Fees? No Problem! Achieving Fairness in Transaction Fee Mechanism Design
by: Damle, Sankarshan, et al.
Published: (2024)
by: Damle, Sankarshan, et al.
Published: (2024)
Conditional Prediction ROC Bands for Graph Classification
by: Wu, Yujia, et al.
Published: (2024)
by: Wu, Yujia, et al.
Published: (2024)
On the Maximal Local Disparity of Fairness-Aware Classifiers
by: Jin, Jinqiu, et al.
Published: (2024)
by: Jin, Jinqiu, et al.
Published: (2024)
Bayes-Optimal Classifiers under Group Fairness
by: Zeng, Xianli, et al.
Published: (2022)
by: Zeng, Xianli, et al.
Published: (2022)
Efficient Distributed Training through Gradient Compression with Sparsification and Quantization Techniques
by: Singh, Shruti, et al.
Published: (2024)
by: Singh, Shruti, et al.
Published: (2024)
Federated Computation of ROC and PR Curves
by: Xu, Xuefeng, et al.
Published: (2025)
by: Xu, Xuefeng, et al.
Published: (2025)
Interpretable and Fair Mechanisms for Abstaining Classifiers
by: Lenders, Daphne, et al.
Published: (2025)
by: Lenders, Daphne, et al.
Published: (2025)
Simulating Biases for Interpretable Fairness in Offline and Online Classifiers
by: Inácio, Ricardo, et al.
Published: (2025)
by: Inácio, Ricardo, et al.
Published: (2025)
FACROC: a fairness measure for FAir Clustering through ROC curves
by: Quy, Tai Le, et al.
Published: (2025)
by: Quy, Tai Le, et al.
Published: (2025)
Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions
by: Lieberman, Kelsey, et al.
Published: (2024)
by: Lieberman, Kelsey, et al.
Published: (2024)
PAC-Bayesian Generalization Guarantees for Fairness on Stochastic and Deterministic Classifiers
by: Bastian, Julien, et al.
Published: (2026)
by: Bastian, Julien, et al.
Published: (2026)
Fairness of Classifiers in the Presence of Constraints between Features
by: Cooper, Martin C., et al.
Published: (2026)
by: Cooper, Martin C., et al.
Published: (2026)
Simple and Effective Specialized Representations for Fair Classifiers
by: Sinigaglia, Alberto, et al.
Published: (2025)
by: Sinigaglia, Alberto, et al.
Published: (2025)
Scaling Up ROC-Optimizing Support Vector Machines
by: Bae, Gimun, et al.
Published: (2025)
by: Bae, Gimun, et al.
Published: (2025)
State of the Art in Fair ML: From Moral Philosophy and Legislation to Fair Classifiers
by: Baumann, Elias, et al.
Published: (2018)
by: Baumann, Elias, et al.
Published: (2018)
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers
by: Tian, Huan, et al.
Published: (2025)
by: Tian, Huan, et al.
Published: (2025)
Multi-class Classifier based Failure Prediction with Artificial and Anonymous Training for Data Privacy
by: Das, Dibakar, et al.
Published: (2022)
by: Das, Dibakar, et al.
Published: (2022)
Demystifying the Optimal Fair Classifier in Multi-Class Classification
by: Zhang, Li, et al.
Published: (2026)
by: Zhang, Li, et al.
Published: (2026)
What Does It Take to Build a Performant Selective Classifier?
by: Rabanser, Stephan, et al.
Published: (2025)
by: Rabanser, Stephan, et al.
Published: (2025)
Area under the ROC Curve has the Most Consistent Evaluation for Binary Classification
by: Li, Jing
Published: (2024)
by: Li, Jing
Published: (2024)
ROC-n-reroll: How verifier imperfection affects test-time scaling
by: Dorner, Florian E., et al.
Published: (2025)
by: Dorner, Florian E., et al.
Published: (2025)
Learning with Confidence: Training Better Classifiers from Soft Labels
by: de Vries, Sjoerd, et al.
Published: (2024)
by: de Vries, Sjoerd, et al.
Published: (2024)
Predicting Blood Type: Assessing Model Performance with ROC Analysis
by: Altayar, Malik A., et al.
Published: (2025)
by: Altayar, Malik A., et al.
Published: (2025)
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing
by: Hu, Zhihao, et al.
Published: (2023)
by: Hu, Zhihao, et al.
Published: (2023)
Adversarial Patterns: Building Robust Android Malware Classifiers
by: Bhusal, Dipkamal, et al.
Published: (2022)
by: Bhusal, Dipkamal, et al.
Published: (2022)
Towards Rational Consensus in Honest Majority
by: Srivastava, Varul, et al.
Published: (2024)
by: Srivastava, Varul, et al.
Published: (2024)
Analyzing Crowdfunding of Public Projects Under Dynamic Beliefs
by: Damle, Sankarshan, et al.
Published: (2024)
by: Damle, Sankarshan, et al.
Published: (2024)
Similar Items
-
Optimal Strategies for Federated Learning Maintaining Client Privacy
by: Bhaskar, Uday, et al.
Published: (2025) -
FLIGHT: Facility Location Integrating Generalized, Holistic Theory of Welfare
by: Vummintala, Avyukta Manjunatha, et al.
Published: (2025) -
Fairness and Privacy Guarantees in Federated Contextual Bandits
by: Solanki, Sambhav, et al.
Published: (2024) -
Fairness of Exposure in Online Restless Multi-armed Bandits
by: Sood, Archit, et al.
Published: (2024) -
Towards Fairness in Provably Communication-Efficient Federated Recommender Systems
by: Kaur, Kirandeep, et al.
Published: (2024)