Hey #INFORMS2023 !
Check out our presentations on Integer Programming + Game Theory! 🙂
- ✂️A Differentiable Architecture for Mixed-Integer Optimization (SC45)
- 📖🎲TutORial 'Integer Programming Games' (MB01)
- 1️⃣🎲Who Plays First? (ME33)
Landed in Phoenix! #INFORMS2023
Shamelessly advertisement: I will introduce our recent exciting results about sample-efficient distributional robust reinforcement learning (Monday) and offline reinforcement learning!
Look forward to seeing you at informs!
Honored to have my work on marketplace experimentation recognized by the Dantzig Dissertation Award and the MSOM Service Management SIG best paper award at #INFORMS2023 last week!
I'll be at #INFORMS2023 presenting my work on equitable distributed energy resources adoption under varying retail rate designs on Sunday, 10:45 AM - 12:00 PM, at the Energy Storage and Electricity Pricing in Smart Grids Session. Location: CC-West 211A.
If you’re interested in incentive design, game theory, or healthcare (or if you’re just looking for a recommendation), come to my Health@INFORMS sponsored session “Incentive design and game theory in healthcare” tomorrow at 8am (WA20) in CC-North 128A. #informs2023
The winner of the PSOR Best Paper competition is:
Planning Bike Lanes With Data: Ridership, Congestion, and Path Selection
By: Sheng Liu, Auyon Siddiq, Jingwei Zhang
Congratulations!
#INFORMS2023
We welcome the 2024 PSOR Officers!
President: Renata Konrad
President-Elect: Kayse Maass
VPs of Programs: Chris Zobel and Gabriela Gongora-Svartzman
Secretary/Treasurer: Iva Rashkova
VP of Communications: Ted Allen
Past-President: Gemma Berenguer
#INFORMS2023
Very intersting tutorial #informs2023 by Andrea Lodi and Gabriele Dragotto on *Integer Programming Games: A Gentle Computational Overview'
We likely need more tutorials.
If you've got a faculty opening in ISE or Civil, and you only want the BEST in infrastructure optimization and food commodity modeling, you should hire this one! #INFORMS2023
SC45: Learning for optimization is starting now, featuring Irina Wang Rajiv Sambharya, Vinit Ranjan and Bartolomeo Stellato #INFORMS2023
If you're attending #INFORMS2023 tomorrow morning, you might be interested in the session **Machine learning meets Discrete Optimization** co-organized with Thiago Serra (@thserra.bsky.social), and part of the *Machine Learning for Optimization* cluster.
We have five excellent talks packed into 75 minutes
I will be presenting my work on learning MDPs from features with application in maternal health at @INFORMS2023 today (Monday) 12:45-2pm!
Sanket Shah will also be presenting a followup work on its extension to RMABs at 2:15-3:30pm. Please stop by and come chat with us!
