2.2k citations · 5.9k across the 41 of their papers we have counts for
6 papers · 1 filter
Deep Active Learning over the Long Tail
Yonatan Geifman, Ran El-Yaniv
This paper is concerned with pool-based active learning for deep neural networks. Motivated by coreset dataset compression ideas, we present a novel active learning algorithm that…
Selective Classification for Deep Neural Networks
Yonatan Geifman, Ran El-Yaniv
Selective classification techniques (also known as reject option) have not yet been considered in the context of deep neural networks (DNNs). These techniques can potentially signi…
Growth-Optimal Portfolio Selection under CVaR Constraints
Guy Uziel, Ran El-Yaniv
Online portfolio selection research has so far focused mainly on minimizing regret defined in terms of wealth growth. Practical financial decision making, however, is deeply concer…
The Prediction Advantage: A Universally Meaningful Performance Measure for Classification and Regression
Ran El-Yaniv, Yonatan Geifman, Yair Wiener
We introduce the Prediction Advantage (PA), a novel performance measure for prediction functions under any loss function (e.g., classification or regression). The PA is defined as…
The Relationship Between Agnostic Selective Classification Active Learning and the Disagreement Coefficient
Roei Gelbhart, Ran El-Yaniv
A selective classifier (f,g) comprises a classification function f and a binary selection function g, which determines if the classifier abstains from prediction, or uses f to pred…
Multi-Objective Non-parametric Sequential Prediction
Guy Uziel, Ran El-Yaniv
Online-learning research has mainly been focusing on minimizing one objective function. In many real-world applications, however, several objective functions have to be considered…