Institute for Mathematical Optimization
Technische Universität Carolo-Wilhelmina zu Braunschweig
Technische Universität Carolo-Wilhelmina zu Braunschweig
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Workshop on Optimization, Machine Learning, and Data Science

Braunschweig, April 12-13, 2018

Burgplatz in Braunschweig


Braunschweig Integrated Centre of Systems Biology (BRICS)
Technische Universität Braunschweig
Rebenring 56
38106 Braunschweig

Keynote Speakers

  • Jeffrey T. Linderoth, University of Wisconsin-Madison, USA
  • Andrea Lodi, École Polytechnique de Montréal, Canada
  • Bernd Sturmfels, Max-Planck-Institut für Mathematik in den Naturwissenschaften, Leipzig, Germany
  • Stephen J. Wright, University of Wisconsin-Madison, USA

Travel Information

can be found here.



12:30 - 13:30 Registration and Lunch
13:30 - 13:40 Greetings
13:40 - 14:25 Jeff Linderoth, "Perspectives on Integer Programming in Sparse Optimization"
14:25 - 14:40 Break
14:40 - 15:05 Robert Mohr, "A Trust-Region Method for Nonconvex Finite-Sum Minimization"
15:05 - 15:30 Martin Genzel, "The Mismatch Principle: What Can the Lasso Learn About Non-Linear Observations?"
15:55 - 16:10 Break
16:10 - 16:55 Andrea Lodi, "On big data, optimization and learning"
16:55 - 17:10 Break
17:10 - 17:35 Kevin Tierney, "Deep Learning Assisted Heuristic Tree Search for the Pre-Marshalling Problem"
17:35 - 18:00 Vincent Froese, "Exact Mean Computation in Dynamic Time Warping Spaces"


09:00 - 09:10 Greetings
09:10 - 09:55 Stephen Wright, "Continuous Optimization and Machine Learning"
09:55 - 10:10 Break
10:10 - 10:35 Matthew Tam, "Algorithms Based on Unions of Nonexpansive Maps"
10:35 - 11:00 Andreas Potschka, "A sequential homotopy method for unconstrained optimization problems"
11:00 - 11:20 Imke Joormann, "Solving the Time-Dependent TSP with Machine Learning Guidance"
11:20 - 11:45 Break
11:45 - 12:10 Kathrin Hatz, "DeepChem: Deep Learning Meets Nonlinear Optimization to Guide Chemical Development"
12:10 - 12:30 Alexander Engelmann, "Distributed Non-Convex Optimization in Power Systems"
12:30 - 14:00 Lunch Break
14:00 - 14:25 Christian Etmann, "Incorporating Prior Knowledge through Relevance Regularization"
14:25 - 14:45 Sandra Keiper, "Reconstruction of Finite-Valued Sparse Signals"
14:45 - 15:00 Break
15:00 - 15:45 Bernd Sturmfels, "Learning Algebraic Varieties from Samples"
15:45 - 16:00 Break
16:00 - 16:25 Christoph Brauer, "A primal-dual homotopy algorithm for sparse recovery with infinity norm constraints"
16:25 - 16:50 Nidhi Kaihnsa, "Attainable Regions of Bio-Chemical Reactions"
16:50 - 17:00 Farewell

Download schedule as pdf.

Download abstracts.

Live Stream

There will be a live stream of the plenary talks. The stream can be found here.
For the times, see the schedule above (all times are in CET).

Registration Fee

The reduced registration fee of 50 EUR includes lunch and coffee breaks only.
The normal fee of 70 EUR also includes dinner and a social event on Thursday night.

Call for Contributions

To advance research and collaboration between these fields the workshop aims to bring together scientists working at the intersection of the fields and scientists interested in contributing to the collaboration of the fields.

Besides the keynote talks we encourage young researchers to present their work in a 20 minute talk at the workshop.
We either seek work from the intersection of the fields, or presentations on new, pivotal questions of one field for the other.

Submissions will be chosen for presentation based on an internal review of the submitted extended abstracts. Extended abstracts should not be longer than one page, excluding literature.


  • Registration is closed
  • Call for contributions: Fill out the application and submit extended abstract by e-mail to before February 19, 2018.
  • Notification of acceptance for participation and submission: February 19, 2018
  • Payment of registration fee: at welcome desk, cash only
  • Workshop: April 12-13, 2018


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