Portrait of Sebastian Nowozin

Sebastian Nowozin

Principal Researcher

About

I develop novel algorithms and models for artificial intelligence and machine learning applications.

My current research interest is in the following areas:

  1. Probabilistic deep learning methods for unsupervised learning and semi-supervised structured prediction;
  2. Consequences of model misspecification on estimation and on decision problems;
  3. Understanding agent complexity in order to improve learning efficiency;
  4. Designing models for reasoning and planning.

In terms of methodology I am interested in structured prediction, deep learning, Monte Carlo methods, and decision theory.

My work has found industrial applications in computer vision, cloud-based machine learning, gesture recognition, statistical image processing, numerical optimization, and in time-of-flight imaging.

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