Past & Upcoming Talks

Recent Publications

Quickly discover relevant content by filtering publications.

Gaussian processes are an effective model class for learning unknown functions, particularly in settings where accurately representing …

Bayesian optimization (BO) is a powerful approach for seeking the global optimum of expensive black-box functions and has proven …

Transfer learning considers a learning process where a new task is solved by transferring relevant knowledge from known solutions to …

Data-efficient learning algorithms are essential in many practical applications where data collection is expensive, e.g., in robotics …

Barycentric averaging is a principled way of summarizing populations of measures. Existing algorithms for estimating barycenters …

Contact