128 citations · 131 across the 4 of their papers we have counts for
4 papers
Catalytic Priors: Using Synthetic Data to Specify Prior Distributions in Bayesian Analysis
Dongming Huang, Feicheng Wang, Donald B. Rubin +1
Catalytic prior distributions provide general, easy-to-use, and interpretable specifications of prior distributions for Bayesian analysis. They are particularly beneficial when the…
Rate-matching the regret lower-bound in the linear quadratic regulator with unknown dynamics
Feicheng Wang, Lucas Janson
The theory of reinforcement learning currently suffers from a mismatch between its empirical performance and the theoretical characterization of its performance, with consequences…
Exact Asymptotics for Linear Quadratic Adaptive Control
Feicheng Wang, Lucas Janson
Recent progress in reinforcement learning has led to remarkable performance in a range of applications, but its deployment in high-stakes settings remains quite rare. One reason is…
The Expressive Power of Neural Networks: A View from the Width
Zhou Lu, Hongming Pu, Feicheng Wang +2
The expressive power of neural networks is important for understanding deep learning. Most existing works consider this problem from the view of the depth of a network. In this pap…