Top Tweets for #mathopt
Workshop advancing #XAI through #MathOpt at @uc3m had very interesting talks:
We started with the great @emiliocarrizosa on #contextual #decisionmaking, part of the PhD thesis of @llamamenu

Thanks to our sponsors and partners @IMAG_UGR @CanalUGR @martzog_ @SEIO_ES for supporting scientific advances in #LocationAnalysis #Logistics #NetworkDesign #MathOpt #Transportation in a successful #IWOLOCA24

All set for tomorrow ! Montreal has given us a sunny welcome, and we are ready for a week of wonderful talks on #mathopt !

If you are interested in enhancing the #fairness of #MachineLearning algorithms, read our latest work in which we use #MathOpt to enhance the accuracy and fairness tradeoff of #Lasso!
For link
https://t.co/eioD49ZqDP
T Halskov
@needs_project @emiliocarrizosa
We just uploaded our new preprint on #MathOpt for Optimal Classification Forests 🌳 to @mathOCb https://t.co/Q6Nx6Q97lj https://t.co/xRr7Wh3qdH. New classification strategies, MIP formulations,and impressive results in well-known classification datasets. #orms #machinelearning
EURO PhD School on Data Driven Decision Making and Optimization, Day 5. Edwin Reynolds on #DataScience and #MathOpt at @Tesco (@needs_project industrial participant)
@EUROonline_News
@SEIO_ES
#DORS
@ecmiindmath
@Red_mathin
@MSCActions
@InvestigaUS
@CBScph

What is #MathematicalOptimization? What’s changed in #ORMS and what’s exciting? We chatted with @thserra to get his take on these questions and more. #DecisionScience #MathOpt https://t.co/JyGFItRdD6
🏆Spin-Off Award 2021 of @RWTH Aachen University: @gapzero_de is one of the winners
Article of @RWTHInnovation: https://t.co/MZq7705Pcw #orms #optimization #math #mathopt
Our new paper on “Robust optimal classification trees under noisy labels” with #AlbertoJapon and #JustoPuerto published in Adv Data Analysis & Class. @SpringerMath is available online. #MathOpt #MachineLearning https://t.co/C99e9ghzhP
One of the sessions in the "Mathematical Optimization and Data Science" stream at #euro2021athens is chaired by @kermitiano on Wednesday (WD-28) #orms #DataScience #MathOpt @euro2021Athens
Chairing sesion WD-28: *The Role of Mathematical Optimization in Data Science II* at @euro2021Athens on Wednesday July 14th, 2:30pm 🗓 VirtualRoom 28
4️⃣ presentations you should not miss! #MathOptDataScience 🔥
👇🏽👇🏽👇🏽more info👇🏽👇🏽👇🏽
Our paper *On hub location problems in geographically flexible networks* is available online @ifors_itor #orms #hublocation #mathopt #minlp https://t.co/MIiEqpfazj
Part 2 of the deep dive into the NLPModels extension to multiobjective: https://t.co/SjWkKcIsP9
#JuliaLang #ORMS #MathOpt
The video with the multiple objective extension of NLPModels that was started live last week in finally online: https://t.co/ux6aXNvgpW
Not really a tutorial, more like a deep dive, but mostly made for my students, sorry.
#JuliaLang #orms #MathOpt
4th part of the series about defining your own optimization model with JuliaSmoothOptimizers.
https://t.co/UW2o6hrMTV
#JuliaLang #orms #MathOpt #optimization
It's out: Part 3 of defining your optimization model manually: https://t.co/0lfdCjaSzd
#JuliaLang #orms #MathOpt #tutorials
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