🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

@IEEECDC2023 My student Stefan Clarke will present our work "Learning Rationality in Potential Games" with Gabriele Dragotto and Jaime Fernández Fisac! 🎙️ Thu Dec 14, 2:50pm SGT ThB07.5 📰 arxiv.org/pdf/2303.11188… Brief thread 🧵👇 #CDC2023 #learning #optimization #gametheory

📢 First post of the year! I will be the INFORMS Optimization Society Vice-Chair of Computational Optimization and Software until 2025! Excited to boost visibility of #computational #optimization ⚙️in and beyond INFORMS! #orms connect.informs.org/optimizationso…

📢📢📢 Princeton University Workshop on Optimization, Learning, and Control (#OLC24)📢📢📢 Mark your calendars🗓️ June 27-28, 2024 We will have a poster session for junior researchers (submission deadline March 3)! 🔗 stellato.io/olc #optimization #learning #ml #control #orms

Rajiv Sambharya, Bartolomeo Stellato: Data-Driven Performance Guarantees for Classical and Learned Optimizers arxiv.org/abs/2404.13831 arxiv.org/pdf/2404.13831

After 4 years and ~1000 replication packages, I am stepping down this month as Code/Data Editor at Management Science. It's about time, but also the role/process has become untenable. Management Science is at a critical turning point here. A longer thread. 1/17

Very happy for this great achievement for Haimin Hu and Zixu 🦾🦾 This is a custom branch-and-play algorithm to determine the optimal order of play in a Stackelberg (i.e., sequential) game with many players (robots!) arxiv.org/abs/2402.09246 w/ Bartolomeo Stellato Jaime and Kaiqu

Two papers accepted to #RSS2024! (1/2) Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots arxiv.org/pdf/2402.09246 (2/2) Blending Data-Driven Priors in Dynamic Games arxiv.org/pdf/2402.14174… Please stay tuned for project websites and code repos!

🦋🦋🦋 gdragotto.bsky.social 🦋🦋🦋