75 citations · 173 across the 4 of their papers we have counts for
4 papers
Confidence Intervals for Selected Parameters
Yoav Benjamini, Yotam Hechtlinger, Philip B. Stark
Practical or scientific considerations often lead to selecting a subset of parameters as ``important.'' Inferences about those parameters often are based on the same data used to s…
Cautious Deep Learning
Yotam Hechtlinger, Barnabás Póczos, Larry Wasserman
Most classifiers operate by selecting the maximum of an estimate of the conditional distribution where stands for the features of the instance to be classified and …
A Generalization of Convolutional Neural Networks to Graph-Structured Data
Yotam Hechtlinger, Purvasha Chakravarti, Jining Qin
This paper introduces a generalization of Convolutional Neural Networks (CNNs) from low-dimensional grid data, such as images, to graph-structured data. We propose a novel spatial…
Interpretation of Prediction Models Using the Input Gradient
Yotam Hechtlinger
State of the art machine learning algorithms are highly optimized to provide the optimal prediction possible, naturally resulting in complex models. While these models often outper…