Martin Schmidt
@schmaidtMathematician | Baker | Brewer | Cook | Nerd | Photographer | Author | he/his, er/ihn
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Finally, after trying some #math stuff, I found my real destination: talking about #Trappist beers 🍻🤪 … if you have some spear time over the weekend, here you get some Trappist nerd information … youtu.be/tqCWoacNajk?si…
Open #PhD position in my #Discrete #Optimization Lab at @utn_nuremberg If you're into #bilevel, #robust, #discrete or #nonlinear #optimization , I'd love to see your application! For details, check the official job posting utn.de/en/career/oppo… Please spread the word! 😉
A lot is changing, but some things never do! In 1st grade (👇), #math was already one of my favorites. Now, I'm leaving @TrierUni after 9 great years of studying it. If all had gone to plan, I'd have left 4 years ago and missed out on discovering my passion for #orms… a 🧵 1/8
Thanks to all participants of the @ALOP_Trier autumn school on "Constrained #Optimization & #MachineLearning" for attending and for making it such a great workshop! In particular, thanks to Tim Hoheisel, @emiliocarrizosa and @69alodi for giving three wonderful series of lectures
Last day of the @ALOP_Trier autumn school on „Constrained #Optimization and #MachineLearning“ at @TrierUni … @69alodi talking about ML-augmented discrete optimization 👇
and now … @emiliocarrizosa starts his first talk on #math modeling for counterfactual explanations and inverse #optimization @ALOP_Trier @TrierUni
Volker Schulz is kicking off the @ALOP_Trier autumn school on „Constrained #Optimization and #MachineLearning“ at @TrierUni
Update to our #orms paper on heuristics for Γ-Robust #bilevel problems (jointly with @ILjubic and @schmaidt)! We've extended our computational study on 2240 instances and now compare to both exact and heuristic methods from the literature. Full details: optimization-online.org/?p=26186
Finally, some paper news: Our preprint "On Coupling Constraints in Linear #Bilevel #Optimization" has been accepted in Optimization Letters & will be soon available via #OpenAccess. Here's the latest preprint version as well: optimization-online.org/?p=25680 @thuerauf_j @hri_lefebvre
In my new work I study k-adaptability problems which can be used to approximate two-stage robust optimization problems. I derive bounds on k which guarantee optimality. Link: arxiv.org/abs/2409.12630 #robustoptimization #kadaptability
Day 1 … speaking today as a „supervisor“
Just learned that together with Albert S. Berahas, Majid Jahani and Martin Takáč we've won the Charles Broyden Prize for the paper "Quasi-Newton methods for deep learning: forget the past, just sample". Super unexpected and nice!!!
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