Publications

7 results for Hao Wang

Know What You Don't Know: Uncertainty Calibration of Process Reward Models
- - Young Jin Park
  - Kristjan Greenewald
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training
- - Kristjan Greenewald
  - Yuancheng Yu
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Quantifying Representation Reliability in Self-Supervised Learning Models
- - Young Jin Park
  - Hao Wang
  - et al.
- 2024
- UAI 2024
Conference paper
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
- - Hao Wang
  - Luxi He
  - et al.
- 2023
- NeurIPS 2023
Conference paper
Adapting Fairness Interventions to Missing Values
- - Raymond Feng
  - Flavio Calmon
  - et al.
- 2023
- NeurIPS 2023
Conference paper
Analyzing Generalization of Neural Networks through Loss Path Kernels
- - Yilan Chen
  - Wei Huang
  - et al.
- 2023
- NeurIPS 2023
Conference paper
Post-processing Private Synthetic Data for Improving Utility on Selected Measures
- - Hao Wang
  - Shivchander Sudalairaj
  - et al.
- 2023
- NeurIPS 2023
Poster