Linglong Kong

4

Papers

3

Total Citations

Papers (4)

CBMA: Improving Conformal Prediction through Bayesian Model Averaging

Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning

Tuning-free Estimation and Inference of Cumulative Distribution Function under Local Differential Privacy

Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data