#RobustOptimization

Dr. Anna Latouranna@mathstodon.xyz
2025-01-06

Excited to attend my first PhD defence at TU Delft: Daniël Vos will be defending his thesis "Decision Tree Learning: Algorithms for Robust Prediction and Policy Optimization", containing work he did under supervision of Prof. Dr. Ir. R.L. Lagendijk and Dr. Ir. Sicco Verwer.

#AcademicMastodon #AcademicChatter #PhDLife #Delft #TUDelft #DelftUniversityOfTechnology #Dissertation #Defence #PhD #PhDDefence #DecisionTrees #Optimization #Optimisation #Algorithms #ExplainableAI #RobustOptimization #RobustAI #Defense #PhDDefense

View from the audience of a conference room. I am holding up a dissertation and bookmark. Their designs are clearly inspired by the work of Piet Mondrian.

The bookmark contains the following text:

Invitation

to attend the defense of the dissertation

Decision Tree Learning

Algorithms for Robust Prediction and Policy Optimization

by
Daniël Vos

on Monday the 6th of
January 2025 at 17:30

at the Senaatszaal in the
Aula of the Delft
University of Technology
Mekelweg 5
2628 CC Delft

Afterwards, you are also
invited to the reception
at the same location
2023-05-11

Thanks again to @Francy_Maggioni for the rich talk about bounds for Multistage #StochasticOptimization and Distributionally #RobustOptimization!
A lot of people from Italy, Brazil, and more attended the first webinar co-organized with @log_ufpb
Stay tuned for the next ones😉 t.co/lKa2LuVeJY

2023-01-27

Our preprint "Finding Regions of Counterfactual Explanations via Robust Optimization" (written together with Donato Maragno, Tabea Röber, Rob Goedhart, Ilker Birbil and Dick den Hertog) is available online now.

Paper: lnkd.in/embHrTvM
Code & Slides: lnkd.in/eV2vaM2D

#robustoptimization #machinelearning #counterfactualexplanations #explainableAI

2023-01-09

We completely revised our paper "Data-driven Prediction of Relevant Scenarios for Robust Combinatorial Optimization" (written together with Marc Goerigk) and replaced the old method by a completely new data-driven algorithm which generalizes well to problem instances which are of larger dimension than the training instances.

#robustoptimization #machinelearning #scenarioprediction

arxiv.org/abs/2203.16642

2022-11-28

I'm happy to share that our paper "Data-driven robust optimization using deep neural networks" (written together with Marc Goerigk) is published now in Computers & OR.

We study #robustoptimization problems where observations of the uncertain parameters are given by historical data. On this data we train one-class deep #neuralnetworks to detect outliers and extract the hidden data structures from the observations.
doi.org/10.1016/j.cor.2022.106

Gabriele Dragottogabrieledragotto@mas.to
2022-11-08

Highly recommended read! #RobustOptimization by Dimitris Bertsimas and Dick den Hertog

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