no code implementations • 27 May 2024 • Emile Contal, Garrin McGoldrick
Our findings demonstrate the critical role of diversity and quality bias in retrieved demonstrations for effective ICL, and highlight the potential of recommender system techniques in this domain.
no code implementations • 16 Feb 2016 • Emile Contal, Nicolas Vayatis
The paper considers the problem of global optimization in the setup of stochastic process bandits.
no code implementations • 19 Oct 2015 • Emile Contal, Cédric Malherbe, Nicolas Vayatis
In this paper, we consider the problem of stochastic optimization under a bandit feedback model.
no code implementations • 19 Nov 2013 • Emile Contal, Vianney Perchet, Nicolas Vayatis
In this paper, we analyze a generic algorithm scheme for sequential global optimization using Gaussian processes.
no code implementations • 19 Apr 2013 • Emile Contal, David Buffoni, Alexandre Robicquet, Nicolas Vayatis
We prove theoretical upper bounds on the regret with batches of size K for this procedure which show the improvement of the order of sqrt{K} for fixed iteration cost over purely sequential versions.