Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Saad, El Mehdi"'
Publikováno v:
Neurips 2023
We consider the problem of best arm identification in the multi-armed bandit model, under fixed confidence. Given a confidence input $\delta$, the goal is to identify the arm with the highest mean reward with a probability of at least 1 -- $\delta$,
Externí odkaz:
http://arxiv.org/abs/2306.02630
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 other on all tasks. We consider the sequential setting where in each rou
Externí odkaz:
http://arxiv.org/abs/2306.02628
Autor:
Saad, El Mehdi, Blanchard, G.
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 information. We assume that in each round, the learner can predict us
Externí odkaz:
http://arxiv.org/abs/2210.02256
Autor:
Saad, El Mehdi, Blanchard, Gilles
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 access to information. We assume that the learner only has access to a lim
Externí odkaz:
http://arxiv.org/abs/2110.14485
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 sample complexity, with little or no consideration of the computation r
Externí odkaz:
http://arxiv.org/abs/2011.11117
Autor:
Saad, El Mehdi
Publikováno v:
Machine Learning [stat.ML]. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPASM041⟩
The increasing size of available data has led machine learning specialists to consider more complex models in order to achieve better performance. From a theoretical point of view, statistical learning under resource constraints has known a growing i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3ea5ce4f27459915a8d50436bb709cf9
https://theses.hal.science/tel-03940730
https://theses.hal.science/tel-03940730