Hao Wang

29 papers A* 6B 5Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents.
ACL (Findings)
Ivoline C. Ngong, Swanand Ravindra Kadhe, Hao Wang, Keerthiram Murugesan, Justin D. Weisz, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy
2025 J jnl
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents.
CoRR
Ivoline C. Ngong, Swanand Kadhe, Hao Wang, Keerthiram Murugesan, Justin D. Weisz, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy
2023 A* conf
Adapting Fairness Interventions to Missing Values.
NeurIPS
Raymond Feng, Flávio P. Calmon, Hao Wang
2023 J jnl
Adapting Fairness Interventions to Missing Values.
CoRR
Raymond Feng, Flávio P. Calmon, Hao Wang
2023 J jnl
Aleatoric and Epistemic Discrimination in Classification.
CoRR
Hao Wang, Luxi He, Rui Gao, Flávio P. Calmon
2023 A* conf
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions.
NeurIPS
Hao Wang, Luxi He, Rui Gao, Flávio P. Calmon
2023 J jnl
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels.
J. Mach. Learn. Res.
Hao Wang, Rui Gao, Flávio P. Calmon
2022 A* conf
Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection.
NeurIPS
Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalák, Shahab Asoodeh, Flávio P. Calmon
2022 J jnl
Beyond Adult and COMPAS: Fairness in Multi-Class Prediction.
CoRR
Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, P. Winston Michalak, Shahab Asoodeh, Flávio P. Calmon
2022 A* conf
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values.
AAAI
Haewon Jeong, Hao Wang, Flávio P. Calmon
2021 A* conf
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels.
NeurIPS
Hao Wang, Yizhe Huang, Rui Gao, Flávio P. Calmon
2021 J jnl
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values.
CoRR
Haewon Jeong, Hao Wang, Flávio P. Calmon
2021 J jnl
Learning While Dissipating Information: Understanding the Generalization Capability of SGLD.
CoRR
Hao Wang, Yizhe Huang, Rui Gao, Flávio P. Calmon
2021 B conf
The Impact of Split Classifiers on Group Fairness.
ISIT
Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon
2021 J jnl
To Split or not to Split: The Impact of Disparate Treatment in Classification.
IEEE Trans. Inf. Theory
Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon
2020 B conf
Model Projection: Theory and Applications to Fair Machine Learning.
ISIT
Wael Alghamdi, Shahab Asoodeh, Hao Wang, Flávio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy
2020 J jnl
On the Robustness of Information-Theoretic Privacy Measures and Mechanisms.
IEEE Trans. Inf. Theory
Mario Díaz, Hao Wang, Flávio P. Calmon, Lalitha Sankar
2020 J jnl
To Split or Not to Split: The Impact of Disparate Treatment in Classification.
CoRR
Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon
2019 B conf
An Information-Theoretic View of Generalization via Wasserstein Distance.
ISIT
Hao Wang, Mario Díaz, José Cândido Silveira Santos Filho, Flávio P. Calmon
2019 J jnl
Privacy With Estimation Guarantees.
IEEE Trans. Inf. Theory
Hao Wang, Lisa Vo, Flávio P. Calmon, Muriel Médard, Ken R. Duffy, Mayank Varia
2019 A* conf
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions.
ICML
Hao Wang, Berk Ustun, Flávio P. Calmon
2019 J jnl
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions.
CoRR
Hao Wang, Berk Ustun, Flávio P. Calmon
2018 B conf
On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning.
ISIT
Hao Wang, Berk Ustun, Flávio P. Calmon
2018 J jnl
On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning.
CoRR
Hao Wang, Berk Ustun, Flávio P. Calmon
2018 J jnl
On the Robustness of Information-Theoretic Privacy Measures and Mechanisms.
CoRR
Mario Díaz, Hao Wang, Flávio P. Calmon, Lalitha Sankar
2018 B conf
The Utility Cost of Robust Privacy Guarantees.
ISIT
Hao Wang, Mario Díaz, Flávio P. Calmon, Lalitha Sankar
2018 J jnl
The Utility Cost of Robust Privacy Guarantees.
CoRR
Hao Wang, Mario Díaz, Flávio P. Calmon, Lalitha Sankar
2017 J jnl
An Estimation-Theoretic View of Privacy.
CoRR
Hao Wang, Flávio du Pin Calmon
2017 — conf
An estimation-theoretic view of privacy.
Allerton
Hao Wang, Flávio P. Calmon