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Bei Jiang
Bei Jiang
8
papers
50
total citations
papers (8)
Conformalized Fairness via Quantile Regression
NEURIPS 2022
arXiv
15
citations
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
NEURIPS 2021
arXiv
15
citations
Gaussian Differential Privacy on Riemannian Manifolds
NEURIPS 2023
arXiv
9
citations
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy
NEURIPS 2022
arXiv
7
citations
Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning
NEURIPS 2025
arXiv
2
citations
CBMA: Improving Conformal Prediction through Bayesian Model Averaging
ICLR 2025
arXiv
2
citations
Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data
ICML 2024
0
citations
Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis
NEURIPS 2025
arXiv
0
citations