Hao Wang

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 23

Top Topics

Theoretic Framework

Generalization Bounds

Missing Attribute Values

Privacy Guarantees

Top Venues

IEEE Trans. Inf. Theory

Publications

Hao Wang, Rui Gao, Flávio P. Calmon
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels. J. Mach. Learn. Res. 24 (2023)
Haewon Jeong, Hao Wang, Flávio P. Calmon
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values. AAAI (2022)
Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, P. Winston Michalak, Shahab Asoodeh, Flávio P. Calmon
Beyond Adult and COMPAS: Fairness in Multi-Class Prediction. CoRR (2022)
Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalák, Shahab Asoodeh, Flávio P. Calmon
Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection. NeurIPS (2022)
Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon
The Impact of Split Classifiers on Group Fairness. ISIT (2021)
Hao Wang, Hsiang Hsu, Mario Díaz, Flávio du Pin Calmon
To Split or not to Split: The Impact of Disparate Treatment in Classification. IEEE Trans. Inf. Theory 67 (10) (2021)
Hao Wang, Yizhe Huang, Rui Gao, Flávio P. Calmon
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels. NeurIPS (2021)
Hao Wang, Yizhe Huang, Rui Gao, Flávio P. Calmon
Learning While Dissipating Information: Understanding the Generalization Capability of SGLD. CoRR (2021)
Haewon Jeong, Hao Wang, Flávio P. Calmon
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values. CoRR (2021)
Mario Díaz, Hao Wang, Flávio du Pin Calmon, Lalitha Sankar
On the Robustness of Information-Theoretic Privacy Measures and Mechanisms. IEEE Trans. Inf. Theory 66 (4) (2020)
Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon
To Split or Not to Split: The Impact of Disparate Treatment in Classification. CoRR (2020)
Wael Alghamdi, Shahab Asoodeh, Hao Wang, Flávio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy
Model Projection: Theory and Applications to Fair Machine Learning. ISIT (2020)
Hao Wang, Berk Ustun, Flávio P. Calmon
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions. ICML (2019)
Hao Wang, Mario Díaz, José Cândido Silveira Santos Filho, Flávio P. Calmon
An Information-Theoretic View of Generalization via Wasserstein Distance. ISIT (2019)
Hao Wang, Lisa Vo, Flávio du Pin Calmon, Muriel Médard, Ken R. Duffy, Mayank Varia
Privacy With Estimation Guarantees. IEEE Trans. Inf. Theory 65 (12) (2019)
Hao Wang, Berk Ustun, Flávio P. Calmon
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions. CoRR (2019)
Mario Díaz, Hao Wang, Flávio P. Calmon, Lalitha Sankar
On the Robustness of Information-Theoretic Privacy Measures and Mechanisms. CoRR (2018)
Hao Wang, Mario Díaz, Flávio du Pin Calmon, Lalitha Sankar
The Utility Cost of Robust Privacy Guarantees. CoRR (2018)
Hao Wang, Mario Díaz, Flávio P. Calmon, Lalitha Sankar
The Utility Cost of Robust Privacy Guarantees. ISIT (2018)
Hao Wang, Berk Ustun, Flávio du Pin Calmon
On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning. ISIT (2018)
Hao Wang, Berk Ustun, Flávio du Pin Calmon
On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning. CoRR (2018)
Hao Wang, Flávio du Pin Calmon
An Estimation-Theoretic View of Privacy. CoRR (2017)
Hao Wang, Flávio du Pin Calmon
An estimation-theoretic view of privacy. Allerton (2017)