Zhao Song

发表

Training Overparametrized Neural Networks in Sublinear Time

Danyang Zhuo, Omri Weinstein, Han Hu, 2022, ArXiv.

Federated Adversarial Learning: A Framework with Convergence Analysis

Jiaming Yang, Zhao Song, Xiaoxiao Li, 2022, ICML.

Over-parametrization for Learning and Generalization in Two-Layer Neural Networks

Xin Yang, Zhao Song, 2022 .

Smoothed Online Combinatorial Optimization Using Imperfect Predictions

S. Mahadevan, Georgios Theocharous, Zhao Song, 2022, ArXiv.

Smoothed Online Combinatorial Optimization Using Imperfect Predictions

S. Mahadevan, Georgios Theocharous, Zhao Song, 2022, ArXiv.

When is particle filtering efficient for planning in partially observed linear dynamical systems?

Simon S. Du, Ruoqi Shen, Wei Hu, 2020, UAI.

Solving DEC-POMDPs by Expectation Maximization of Value Function

Lawrence Carin, Zhao Song, Xuejun Liao, 2016, AAAI Spring Symposia.

Revisiting the Softmax Bellman Operator: Theoretical Properties and Practical Benefits pdf

Lawrence Carin, Zhao Song, Ronald E. Parr, 2018, ArXiv.

Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization

Lawrence Carin, Zhao Song, David E. Carlson, 2016, AISTATS.

Linear Feature Encoding for Reinforcement Learning

Lawrence Carin, Zhao Song, Xuejun Liao, 2016, NIPS.

Efficient Model-free Reinforcement Learning in Metric Spaces pdf

Zhao Song, Wen Sun, Wen Sun, 2019, ArXiv.

Revisiting the Softmax Bellman Operator: New Benefits and New Perspective

Lawrence Carin, Zhao Song, Ronald E. Parr, 2018, ICML.