154 citations · 307 across the 14 of their papers we have counts for
14 papers
Smooth Bandit Optimization: Generalization to Hölder Space
Yusha Liu, Yining Wang, Aarti Singh
We consider bandit optimization of a smooth reward function, where the goal is cumulative regret minimization. This problem has been studied for -Hölder continuous (including Li…
Efficient Load Sampling for Worst-Case Structural Analysis Under Force Location Uncertainty
Yining Wang, Erva Ulu, Aarti Singh +1
An important task in structural design is to quantify the structural performance of an object under the external forces it may experience during its use. The problem proves to be c…
Robust Nonparametric Regression under Huber's -contamination Model
Simon S. Du, Yining Wang, Sivaraman Balakrishnan +2
We consider the non-parametric regression problem under Huber's -contamination model, in which an fraction of observations are subject to arbitrary adversarial noise. We fir…
How Many Samples are Needed to Estimate a Convolutional or Recurrent Neural Network?
Simon S. Du, Yining Wang, Xiyu Zhai +3
It is widely believed that the practical success of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) owes to the fact that CNNs and RNNs use a more compact…
Near-Linear Time Local Polynomial Nonparametric Estimation with Box Kernels
Yining Wang, Yi Wu, Simon S. Du
Local polynomial regression (Fan and Gijbels 1996) is an important class of methods for nonparametric density estimation and regression problems. However, straightforward implement…
Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach
Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh +1
The experimental design problem concerns the selection of k points from a potentially large design pool of p-dimensional vectors, so as to maximize the statistical efficiency regre…