2023
Optimal Smooth Approximation for Quantile Matrix Factorization.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022
Distributional Reinforcement Learning via Sinkhorn Iterations.
CoRR, 2022

Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm.
CoRR, 2021

Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations.
CoRR, 2021

Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Sparse Multicategory Generalized Distance Weighted Discrimination in Ultra-High Dimensions.
Entropy, 2020

2019
M-estimation in Low-Rank Matrix Factorization: A General Framework.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019