2 citations · 4 across the 6 of their papers we have counts for
6 papers
Active Ranking of Experts Based on their Performances in Many Tasks
El Mehdi Saad, Nicolas Verzelen, Alexandra Carpentier
We consider the problem of ranking n experts based on their performances on d tasks. We make a monotonicity assumption stating that for each pair of experts, one outperforms the ot…
Covariance Adaptive Best Arm Identification
El Mehdi Saad, Gilles Blanchard, Nicolas Verzelen
We consider the problem of best arm identification in the multi-armed bandit model, under fixed confidence. Given a confidence input , the goal is to identify the arm with the h…
Constant regret for sequence prediction with limited advice
El Mehdi Saad, G. Blanchard
We investigate the problem of cumulative regret minimization for individual sequence prediction with respect to the best expert in a finite family of size K under limited access to…
Practical Aspects of Zero-Shot Learning
Elie Saad, Marcin Paprzycki, Maria Ganzha
One of important areas of machine learning research is zero-shot learning. It is applied when properly labeled training data set is not available. A number of zero-shot algorithms…
Fast rates for prediction with limited expert advice
El Mehdi Saad, Gilles Blanchard
We investigate the problem of minimizing the excess generalization error with respect to the best expert prediction in a finite family in the stochastic setting, under limited acce…
Online Orthogonal Matching Pursuit
El Mehdi Saad, Gilles Blanchard, Sylvain Arlot
Greedy algorithms for feature selection are widely used for recovering sparse high-dimensional vectors in linear models. In classical procedures, the main emphasis was put on the s…