5 citations · 12 across the 8 of their papers we have counts for
4 papers · 1 filter
Adaptive Combinatorial Experimental Design: Pareto Optimality for Decision-Making and Inference
Hongrui Xie, Junyu Cao, Kan Xu
In this paper, we provide the first investigation into adaptive combinatorial experimental design, focusing on the trade-off between regret minimization and statistical power in co…
Stochastic Bandits with ReLU Neural Networks
Kan Xu, Hamsa Bastani, Surbhi Goel +1
We study the stochastic bandit problem with ReLU neural network structure. We show that a regret guarantee is achievable by considering bandits with one-layer…
Uniformly Conservative Exploration in Reinforcement Learning
Wanqiao Xu, Jason Yecheng Ma, Kan Xu +2
A key challenge to deploying reinforcement learning in practice is avoiding excessive (harmful) exploration in individual episodes. We propose a natural constraint on exploration -…
Robust Generalization of Quadratic Neural Networks via Function Identification
Kan Xu, Hamsa Bastani, Osbert Bastani
A key challenge facing deep learning is that neural networks are often not robust to shifts in the underlying data distribution. We study this problem from the perspective of the s…