Prof. Dr. Sebastian Pokutta

Vice President
Zuse Institute Berlin (ZIB)

Optimization and Machine Learning
Institute of Mathematics
Electrical Engineering and Computer Science (courtesy)
Technische Universität Berlin

Research Lab. My lab is interested in Artificial Intelligence, Optimization, and Machine Learning. We develop new methodologies (e.g., new optimization and learning algorithms), work on combining learning and decision-making, as well as design AI Systems for real-world deployment in various application contexts.

Recent Papers.

  • Revisiting the Approximate Carathéodory Problem via the Frank-Wolfe Algorithm
    C. W. Combettes, S. Pokutta
    preprint (2019), [arXiv] [summary] [slides]
  • Locally Accelerated Conditional Gradients
    J. Diakonikolas, A. Carderera, S. Pokutta
    preprint (2019), [arXiv] [summary] [slides] [poster]
  • Blended Matching Pursuit
    C. W. Combettes, S. Pokutta
    to appear in Proceedings of NeurIPS (2019), [arXiv] [summary] [slides] [poster]
  • Restarting Frank-Wolfe
    T. Kerdreux, A. d’Aspremont, S. Pokutta
    to appear in Proceedings of AISTATS (2019), [arXiv] [summary] [slides]
  • Blended Conditional Gradients: the unconditioning of conditional gradients
    G. Braun, S. Pokutta, D. Tu, S. Wright
    to appear in Proceedings of ICML (2019), [arXiv] [summary] [poster] [slides]

Select Recent Talks and Teaching.

Recent Blog Posts.