51 citations · 51 across the 2 of their papers we have counts for
3 papers
A Framework for Sample Efficient Interval Estimation with Control Variates
Shengjia Zhao, Christopher Yeh, Stefano Ermon
We consider the problem of estimating confidence intervals for the mean of a random variable, where the goal is to produce the smallest possible interval for a given number of samp…
Efficient Object Detection in Large Images using Deep Reinforcement Learning
Burak Uzkent, Christopher Yeh, Stefano Ermon
Traditionally, an object detector is applied to every part of the scene of interest, and its accuracy and computational cost increases with higher resolution images. However, in so…
Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning
Anthony Perez, Christopher Yeh, George Azzari +3
Obtaining detailed and reliable data about local economic livelihoods in developing countries is expensive, and data are consequently scarce. Previous work has shown that it is pos…