Recent Preprints and Papers

Linear systems are the bedrock of virtually all numerical computation. Machine learning poses specific challenges for the solution of …

Many applications of classification methods not only require high accuracy but also reliable estimation of predictive uncertainty. …


Recent and Upcoming


Software, Tech Reports, etc.

Probabilistic Numerics (PN) interprets classic numerical routines as inference procedures by taking a probabilistic viewpoint. This …

Accurate representation of uncertainty in classification problems can be as critical as high prediction accuracy in computer vision, …

In this project we analyzed time-optimal control problems with linear dynamics and numerical methods for solving them. When …


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