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researcher / Olivier Teytaud

Olivier Teytaud

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Disciplines:

Computer sciences

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Thesis:

Apprentissage, réseaux de neurones et applications

Directed Thesis:

Studies on Stochastic Optimisation and applications to the Real-World

Contributions to Convergence Analysis of Noisy Optimization Algorithms

Uncertainties in Optimization

Portfolio Methods in Uncertain Contexts

Hybridization of dynamic optimization methodologies

Monte Carlo Tree Search for Continuous and Stochastic Sequential Decision Making Problems

Contributions to Simulation-based High-dimensional Sequential Decision Making

Eléments pour l'apprentissage et l'optimisation de fonctions chères