Optimization for Interpretable Machine Learning: Classification and Clustering 

The workshop aims to bring together researchers working at the interface of Mathematical Optimization and Machine Learning, with a particular interest in classification, clustering, interpretability, and structured learning models.

The event will be a one-day workshop with a relatively small number of invited talks and plenty of time for discussion and interaction.

Invited speakers

• Zacharie Alès — ENSTA Paris, UMA Laboratory, France

• Lavinia Amorosi — Sapienza University of Rome, Italy

• Farnaz Farzania — Copenhagen Business School, Denmark

• Javier Marenco — Universidad Torcuato Di Tella, Argentina

• Justo Puerto — IMUS, University of Seville, Spain

• Fabian Wilschewski — University of Duisburg-Essen, Germany

Further information on the program of the workshop and details on the venue will soon be provided here.