Julien Bect

Navigating the protein fitness landscape with Gaussian processes

Adaptive MCMC with Bayesian Optimization

{Bayesian Multi-Scale Optimistic Optimization}

Convergence Rates of Efficient Global Optimization Algorithms

Mastering the game of Go without human knowledge

Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

Taking the Human Out of the Loop: A Review of Bayesian Optimization

A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot

How to tell the difference between a model and a digital twin

Digital twin modeling

Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age

Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting

Deep Reinforcement Learning: A Brief Survey

On the convergence of the expected improvement algorithm

Convergence properties of the expected improvement algorithm with fixed mean and covariance functions

Assessing fire safety using complex numerical models with a Bayesian multi-fidelity approach