Optimal Smooth Approximation for Quantile Matrix Factorization.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
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
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
Sparse Multicategory Generalized Distance Weighted Discrimination in Ultra-High Dimensions.
Entropy, 2020
M-estimation in Low-Rank Matrix Factorization: A General Framework.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019