Xuan Zhao

15 papers A 1B 2C 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2024 B conf
Adversarial Reweighting Guided by Wasserstein Distance to Achieve Demographic Parity.
IEEE Big Data
Xuan Zhao, Simone Fabbrizzi, Paula Reyero Lobo, Siamak Ghodsi, Klaus Broelemann, Steffen Staab, Gjergji Kasneci
2024 J jnl
Correction to: Studying bias in visual features through the lens of optimal transport.
Data Min. Knowl. Discov.
Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi
2024 A conf
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule.
ECAI
Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci
2024 J jnl
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule.
CoRR
Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci
2024 — conf
Policy Advice and Best Practices on Bias and Fairness in Artificial Intelligence.
EWAF
José M. Álvarez, Alejandra Bringas Colmenarejo, Alaa Elobaid, Simone Fabbrizzi, Miriam Fahimi, Antonio Ferrara, Siamak Ghodsi, Carlos Mougan, Ioanna Papageorgiou, Paula Reyero Lobo, Mayra Russo, Kristen M. Scott, Laura State, Xuan Zhao, Salvatore Ruggieri
2024 J jnl
Policy advice and best practices on bias and fairness in AI.
Ethics Inf. Technol.
José M. Álvarez, Alejandra Bringas Colmenarejo, Alaa Elobaid, Simone Fabbrizzi, Miriam Fahimi, Antonio Ferrara, Siamak Ghodsi, Carlos Mougan, Ioanna Papageorgiou, Paula Reyero Lobo, Mayra Russo, Kristen M. Scott, Laura State, Xuan Zhao, Salvatore Ruggieri
2024 J jnl
Studying bias in visual features through the lens of optimal transport.
Data Min. Knowl. Discov.
Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi
2023 J jnl
Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation.
CoRR
Xuan Zhao, Simone Fabbrizzi, Paula Reyero Lobo, Siamak Ghodsi, Klaus Broelemann, Steffen Staab, Gjergji Kasneci
2023 B conf
Causal Fairness-Guided Dataset Reweighting using Neural Networks.
IEEE Big Data
Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci
2023 J jnl
Causal Fairness-Guided Dataset Reweighting using Neural Networks.
CoRR
Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci
2023 — conf
Counterfactual Explanation for Regression via Disentanglement in Latent Space.
ICDM (Workshops)
Xuan Zhao, Klaus Broelemann, Gjergji Kasneci
2023 J jnl
Counterfactual Explanation for Regression via Disentanglement in Latent Space.
CoRR
Xuan Zhao, Klaus Broelemann, Gjergji Kasneci
2023 J jnl
Counterfactual Explanation via Search in Gaussian Mixture Distributed Latent Space.
CoRR
Xuan Zhao, Klaus Broelemann, Gjergji Kasneci
2022 C conf
Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation.
AIES
Alejandra Bringas Colmenarejo, Luca Nannini, Alisa Rieger, Kristen M. Scott, Xuan Zhao, Gourab K. Patro, Gjergji Kasneci, Katharina Kinder-Kurlanda
2022 J jnl
Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation.
CoRR
Alejandra Bringas Colmenarejo, Luca Nannini, Alisa Rieger, Kristen M. Scott, Xuan Zhao, Gourab K. Patro, Gjergji Kasneci, Katharina Kinder-Kurlanda