Hao Wang

According to our database, Hao Wang authored at least 19 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels.

Hao Wang, Rui Gao, Flávio P. Calmon

J. Mach. Learn. Res., 2023

Adapting Fairness Interventions to Missing Values.

Raymond Feng, Flávio P. Calmon, Hao Wang

CoRR, 2023

Aleatoric and Epistemic Discrimination in Classification.

Hao Wang, Luxi He, Rui Gao, Flávio P. Calmon

CoRR, 2023

Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions.

Hao Wang, Luxi He, Rui Gao, Flávio P. Calmon

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Beyond Adult and COMPAS: Fairness in Multi-Class Prediction.

Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, P. Winston Michalak, Shahab Asoodeh, Flávio P. Calmon

CoRR, 2022

Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection.

Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalák, Shahab Asoodeh, Flávio P. Calmon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values.

Haewon Jeong, Hao Wang, Flávio P. Calmon

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

To Split or not to Split: The Impact of Disparate Treatment in Classification.

Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon

IEEE Trans. Inf. Theory, 2021

Learning While Dissipating Information: Understanding the Generalization Capability of SGLD.

Hao Wang, Yizhe Huang, Rui Gao, Flávio P. Calmon

CoRR, 2021

Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels.

Hao Wang, Yizhe Huang, Rui Gao, Flávio P. Calmon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Impact of Split Classifiers on Group Fairness.

Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

On the Robustness of Information-Theoretic Privacy Measures and Mechanisms.

Mario Díaz, Hao Wang, Flávio P. Calmon, Lalitha Sankar

IEEE Trans. Inf. Theory, 2020

Model Projection: Theory and Applications to Fair Machine Learning.

Wael Alghamdi, Shahab Asoodeh, Hao Wang, Flávio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

Privacy With Estimation Guarantees.

Hao Wang, Lisa Vo, Flávio P. Calmon, Muriel Médard, Ken R. Duffy, Mayank Varia

IEEE Trans. Inf. Theory, 2019

An Information-Theoretic View of Generalization via Wasserstein Distance.

Hao Wang, Mario Díaz, José Cândido Silveira Santos Filho, Flávio P. Calmon

Proceedings of the IEEE International Symposium on Information Theory, 2019

Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions.

Hao Wang, Berk Ustun, Flávio P. Calmon

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning.

Hao Wang, Berk Ustun, Flávio P. Calmon

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

The Utility Cost of Robust Privacy Guarantees.

Hao Wang, Mario Díaz, Flávio P. Calmon, Lalitha Sankar

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017

An estimation-theoretic view of privacy.

Hao Wang, Flávio P. Calmon

Proceedings of the 55th Annual Allerton Conference on Communication, 2017