5 citations · 5 across the 4 of their papers we have counts for
4 papers
Combining additivity and active subspaces for high-dimensional Gaussian process modeling
Mickael Binois, Victor Picheny
Gaussian processes are a widely embraced technique for regression and classification due to their good prediction accuracy, analytical tractability and built-in capabilities for un…
Shared active subspace for multivariate vector-valued functions
Khadija Musayeva, Mickael Binois
This paper proposes several approaches as baselines to compute a shared active subspace for multivariate vector-valued functions. The goal is to minimize the deviation between the…
Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis
Nicholson Collier, Justin M. Wozniak, Abby Stevens +6
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among domain expert…
A warped kernel improving robustness in Bayesian optimization via random embeddings
Mickaël Binois, David Ginsbourger, Olivier Roustant
This works extends the Random Embedding Bayesian Optimization approach by integrating a warping of the high dimensional subspace within the covariance kernel. The proposed warping,…