Bartolomeo Stellato
@stella.to
Assistant Professor @Princeton ORFE l Real-time optimizer I http://osqp.org developer | From 🇮🇹 in 🇺🇲 | https://stella.to
📢 New in JMLR (w @rajivsambharya.bsky.social)! 🎉 Data-driven guarantees for classical & learned optimizers via sample bounds + PAC-Bayes theory.
📄 jmlr.org/papers/v26/2...
💻 github.com/stellatogrp/...
📄 jmlr.org/papers/v26/2...
💻 github.com/stellatogrp/...
September 8, 2025 at 1:10 PM
📢 New in JMLR (w @rajivsambharya.bsky.social)! 🎉 Data-driven guarantees for classical & learned optimizers via sample bounds + PAC-Bayes theory.
📄 jmlr.org/papers/v26/2...
💻 github.com/stellatogrp/...
📄 jmlr.org/papers/v26/2...
💻 github.com/stellatogrp/...
📢 Our paper "Verification of First-Order Methods for Parametric Quadratic Optimization" with my student Vinit Ranjan (vinitranjan1.github.io/) is accepted in Mathematical Programming! 🎉
🔗 DOI: doi.org/10.1007/s10107-025-02261-w
📄 arXiv: arxiv.org/pdf/2403.033...
💻 Code: github.com/stellatogrp/...
🔗 DOI: doi.org/10.1007/s10107-025-02261-w
📄 arXiv: arxiv.org/pdf/2403.033...
💻 Code: github.com/stellatogrp/...
August 8, 2025 at 7:37 PM
📢 Our paper "Verification of First-Order Methods for Parametric Quadratic Optimization" with my student Vinit Ranjan (vinitranjan1.github.io/) is accepted in Mathematical Programming! 🎉
🔗 DOI: doi.org/10.1007/s10107-025-02261-w
📄 arXiv: arxiv.org/pdf/2403.033...
💻 Code: github.com/stellatogrp/...
🔗 DOI: doi.org/10.1007/s10107-025-02261-w
📄 arXiv: arxiv.org/pdf/2403.033...
💻 Code: github.com/stellatogrp/...
Reposted by Bartolomeo Stellato
I’m happy to share that I’ll be spending the fall semester at Princeton as a visiting student in the Department of Operations Research and Financial Engineering (ORFE), working with @stellato.io funded through the WASP program. If you’re in the area and would like to connect, feel free to reach out.
August 6, 2025 at 1:24 AM
I’m happy to share that I’ll be spending the fall semester at Princeton as a visiting student in the Department of Operations Research and Financial Engineering (ORFE), working with @stellato.io funded through the WASP program. If you’re in the area and would like to connect, feel free to reach out.
Reposted by Bartolomeo Stellato
🔄 Updated Arxiv Paper
Title: Exact Verification of First-Order Methods via Mixed-Integer Linear Programming
Authors: Vinit Ranjan, Jisun Park, Stefano Gualandi, Andrea Lodi, Bartolomeo Stellato
Read more: https://arxiv.org/abs/2412.11330
Title: Exact Verification of First-Order Methods via Mixed-Integer Linear Programming
Authors: Vinit Ranjan, Jisun Park, Stefano Gualandi, Andrea Lodi, Bartolomeo Stellato
Read more: https://arxiv.org/abs/2412.11330
April 8, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Exact Verification of First-Order Methods via Mixed-Integer Linear Programming
Authors: Vinit Ranjan, Jisun Park, Stefano Gualandi, Andrea Lodi, Bartolomeo Stellato
Read more: https://arxiv.org/abs/2412.11330
Title: Exact Verification of First-Order Methods via Mixed-Integer Linear Programming
Authors: Vinit Ranjan, Jisun Park, Stefano Gualandi, Andrea Lodi, Bartolomeo Stellato
Read more: https://arxiv.org/abs/2412.11330
Reposted by Bartolomeo Stellato
📚 New Arxiv Paper
Title: Data Compression for Fast Online Stochastic Optimization
Authors: Irina Wang, Marta Fochesato, Bartolomeo Stellato
Read more: https://arxiv.org/abs/2504.08097
Title: Data Compression for Fast Online Stochastic Optimization
Authors: Irina Wang, Marta Fochesato, Bartolomeo Stellato
Read more: https://arxiv.org/abs/2504.08097
April 14, 2025 at 8:05 AM
📚 New Arxiv Paper
Title: Data Compression for Fast Online Stochastic Optimization
Authors: Irina Wang, Marta Fochesato, Bartolomeo Stellato
Read more: https://arxiv.org/abs/2504.08097
Title: Data Compression for Fast Online Stochastic Optimization
Authors: Irina Wang, Marta Fochesato, Bartolomeo Stellato
Read more: https://arxiv.org/abs/2504.08097
🚀 Gave a talk at the EURO @euroonline.bsky.social Seminar Series on "Data-Driven Algorithm Design and Verification for Parametric Convex Optimization"!
🎥 Recording: https://euroorml.euro-online.org/
Big thanks to Dolores Romero Morales for the invitation! 🙌 #MachineLearning #Optimization #ORMS
🎥 Recording: https://euroorml.euro-online.org/
Big thanks to Dolores Romero Morales for the invitation! 🙌 #MachineLearning #Optimization #ORMS
February 26, 2025 at 4:46 PM
🚀 Gave a talk at the EURO @euroonline.bsky.social Seminar Series on "Data-Driven Algorithm Design and Verification for Parametric Convex Optimization"!
🎥 Recording: https://euroorml.euro-online.org/
Big thanks to Dolores Romero Morales for the invitation! 🙌 #MachineLearning #Optimization #ORMS
🎥 Recording: https://euroorml.euro-online.org/
Big thanks to Dolores Romero Morales for the invitation! 🙌 #MachineLearning #Optimization #ORMS
Reposted by Bartolomeo Stellato
The new season of the Robust Optimization Webinar (#ROW) starts this week. Our first presentation will take place this Friday, January 24, at 15:00 (CET).
Speaker: Peyman Mohajerin Esfahani (TU Delft)
Title: Inverse Optimization: The Role of Convexity in Learning
Speaker: Peyman Mohajerin Esfahani (TU Delft)
Title: Inverse Optimization: The Role of Convexity in Learning
January 20, 2025 at 12:42 PM
The new season of the Robust Optimization Webinar (#ROW) starts this week. Our first presentation will take place this Friday, January 24, at 15:00 (CET).
Speaker: Peyman Mohajerin Esfahani (TU Delft)
Title: Inverse Optimization: The Role of Convexity in Learning
Speaker: Peyman Mohajerin Esfahani (TU Delft)
Title: Inverse Optimization: The Role of Convexity in Learning
Reposted by Bartolomeo Stellato
📚 New Arxiv Paper
Title: Exact Verification of First-Order Methods via Mixed-Integer Linear Programming
Authors: Vinit Ranjan, Stefano Gualandi, Andrea Lodi, Bartolomeo Stellato
Read more: https://arxiv.org/abs/2412.11330
Title: Exact Verification of First-Order Methods via Mixed-Integer Linear Programming
Authors: Vinit Ranjan, Stefano Gualandi, Andrea Lodi, Bartolomeo Stellato
Read more: https://arxiv.org/abs/2412.11330
December 17, 2024 at 8:03 AM
📚 New Arxiv Paper
Title: Exact Verification of First-Order Methods via Mixed-Integer Linear Programming
Authors: Vinit Ranjan, Stefano Gualandi, Andrea Lodi, Bartolomeo Stellato
Read more: https://arxiv.org/abs/2412.11330
Title: Exact Verification of First-Order Methods via Mixed-Integer Linear Programming
Authors: Vinit Ranjan, Stefano Gualandi, Andrea Lodi, Bartolomeo Stellato
Read more: https://arxiv.org/abs/2412.11330
What happens to the hyperparameters of learned optimizers? Turns out, we learn long steps! 🚀
👇 Check out our latest work with @rajivsambharya.bsky.social!
👇 Check out our latest work with @rajivsambharya.bsky.social!
December 9, 2024 at 5:44 PM
What happens to the hyperparameters of learned optimizers? Turns out, we learn long steps! 🚀
👇 Check out our latest work with @rajivsambharya.bsky.social!
👇 Check out our latest work with @rajivsambharya.bsky.social!
Our paper "Mean robust optimization" has been accepted to Mathematical Programming: https://buff.ly/3B3VpIG
📰 Arxiv (longer version): https://buff.ly/3CT4aWD
👩💻 Code: https://buff.ly/3ATqAXh
w/ Irina Wang, Cole Becker, and Bart van Parys
A thread 🧵 (1/7)👇
📰 Arxiv (longer version): https://buff.ly/3CT4aWD
👩💻 Code: https://buff.ly/3ATqAXh
w/ Irina Wang, Cole Becker, and Bart van Parys
A thread 🧵 (1/7)👇
November 29, 2024 at 3:40 PM
Our paper "Mean robust optimization" has been accepted to Mathematical Programming: https://buff.ly/3B3VpIG
📰 Arxiv (longer version): https://buff.ly/3CT4aWD
👩💻 Code: https://buff.ly/3ATqAXh
w/ Irina Wang, Cole Becker, and Bart van Parys
A thread 🧵 (1/7)👇
📰 Arxiv (longer version): https://buff.ly/3CT4aWD
👩💻 Code: https://buff.ly/3ATqAXh
w/ Irina Wang, Cole Becker, and Bart van Parys
A thread 🧵 (1/7)👇
Reposted by Bartolomeo Stellato
arxiv.org/abs/2411.17668 Our postdoc zihan slays another COLT open problem! proceedings.mlr.press/v247/kornows...
Anytime Acceleration of Gradient Descent
This work investigates stepsize-based acceleration of gradient descent with {\em anytime} convergence guarantees. For smooth (non-strongly) convex optimization, we propose a stepsize schedule that all...
arxiv.org
November 27, 2024 at 1:03 PM
arxiv.org/abs/2411.17668 Our postdoc zihan slays another COLT open problem! proceedings.mlr.press/v247/kornows...
Reposted by Bartolomeo Stellato
📚 New Arxiv Paper
Title: Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization
Authors: Rajiv Sambharya, Bartolomeo Stellato
Read more: http://arxiv.org/abs/2411.15717v1
Title: Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization
Authors: Rajiv Sambharya, Bartolomeo Stellato
Read more: http://arxiv.org/abs/2411.15717v1
November 26, 2024 at 9:03 AM
📚 New Arxiv Paper
Title: Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization
Authors: Rajiv Sambharya, Bartolomeo Stellato
Read more: http://arxiv.org/abs/2411.15717v1
Title: Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization
Authors: Rajiv Sambharya, Bartolomeo Stellato
Read more: http://arxiv.org/abs/2411.15717v1
Reposted by Bartolomeo Stellato
We are very excited to announce that the 2025 INFORMS Computing Society (ICS) Conference will take place March 14-16, 2025, in Toronto:
sites.google.com/view/ics-2025
Submissions for contributed talks are due on December 23.
We invite talks that showcase the dynamic interface of CS, AI & #ORMS.
sites.google.com/view/ics-2025
Submissions for contributed talks are due on December 23.
We invite talks that showcase the dynamic interface of CS, AI & #ORMS.
2025 ICS Conference
The 18th INFORMS Computing Society (ICS) Conference welcomes you to Toronto, Canada. We invite researchers, practitioners, and innovators to come together and share insights at the cutting edge where...
sites.google.com
November 21, 2024 at 3:10 PM
We are very excited to announce that the 2025 INFORMS Computing Society (ICS) Conference will take place March 14-16, 2025, in Toronto:
sites.google.com/view/ics-2025
Submissions for contributed talks are due on December 23.
We invite talks that showcase the dynamic interface of CS, AI & #ORMS.
sites.google.com/view/ics-2025
Submissions for contributed talks are due on December 23.
We invite talks that showcase the dynamic interface of CS, AI & #ORMS.
November 18, 2024 at 3:35 PM
Hey @tmaehara.bsky.social Thanks for the great work on the arxiv bots here! Any chance you could make one for arxiv math.oc (Optimization and Control)? :)
November 17, 2024 at 4:13 PM
Hey @tmaehara.bsky.social Thanks for the great work on the arxiv bots here! Any chance you could make one for arxiv math.oc (Optimization and Control)? :)
Reposted by Bartolomeo Stellato
If your favorite book about algorithms is not Algorithms for Toddlers, then you haven’t read this book yet.
Today I used it to talk about greedy algorithms in my Applied Optimization #orms class (some pages below).
Here is one of the authors reading the whole book: m.youtube.com/watch?v=nnLO...
Today I used it to talk about greedy algorithms in my Applied Optimization #orms class (some pages below).
Here is one of the authors reading the whole book: m.youtube.com/watch?v=nnLO...
November 14, 2024 at 5:15 PM
If your favorite book about algorithms is not Algorithms for Toddlers, then you haven’t read this book yet.
Today I used it to talk about greedy algorithms in my Applied Optimization #orms class (some pages below).
Here is one of the authors reading the whole book: m.youtube.com/watch?v=nnLO...
Today I used it to talk about greedy algorithms in my Applied Optimization #orms class (some pages below).
Here is one of the authors reading the whole book: m.youtube.com/watch?v=nnLO...
Reposted by Bartolomeo Stellato
New starter pack if you're looking for the #orms community on here: go.bsky.app/SvBND16
Also if you have recommendations of people to add, feel free to send them my way.
Also if you have recommendations of people to add, feel free to send them my way.
November 8, 2024 at 4:38 PM
New starter pack if you're looking for the #orms community on here: go.bsky.app/SvBND16
Also if you have recommendations of people to add, feel free to send them my way.
Also if you have recommendations of people to add, feel free to send them my way.
Honored to receive the 2025 ONR Young Investigator Award for our project entitled “Data-Driven Analysis and Design of Mathematical Optimization Algorithms”! https://buff.ly/4e3cT5f @USNavyResearch #Optimization #MachineLearning
2025 Young Investigator Award Recipients | Office of Naval Research
See a list of the 2025 recipients of the U.S. Department of the Navy's Young Investigator Program.
buff.ly
October 22, 2024 at 11:00 PM
Honored to receive the 2025 ONR Young Investigator Award for our project entitled “Data-Driven Analysis and Design of Mathematical Optimization Algorithms”! https://buff.ly/4e3cT5f @USNavyResearch #Optimization #MachineLearning
Very proud of my first PhD student Rajiv Sambharya for defending his thesis! 🎉
Rajiv has done excellent work on learning optimization algorithms for large-scale and embedded optimization, with strong convergence and generalization guarantees.
He will soon start a postdoc at UPenn Engineering!
Rajiv has done excellent work on learning optimization algorithms for large-scale and embedded optimization, with strong convergence and generalization guarantees.
He will soon start a postdoc at UPenn Engineering!
September 7, 2024 at 2:00 PM
Very proud of my first PhD student Rajiv Sambharya for defending his thesis! 🎉
Rajiv has done excellent work on learning optimization algorithms for large-scale and embedded optimization, with strong convergence and generalization guarantees.
He will soon start a postdoc at UPenn Engineering!
Rajiv has done excellent work on learning optimization algorithms for large-scale and embedded optimization, with strong convergence and generalization guarantees.
He will soon start a postdoc at UPenn Engineering!
It was great to organize Princeton Workshop on #Optimization, #Learning, and #Control last June! Thanks to everyone who attended and made it a success! 🎉 #OLC24
Missed the live sessions? Catch up on all the talks with the video recordings here: https://buff.ly/3YwomX6
Missed the live sessions? Catch up on all the talks with the video recordings here: https://buff.ly/3YwomX6
August 8, 2024 at 2:00 PM
It was great to organize Princeton Workshop on #Optimization, #Learning, and #Control last June! Thanks to everyone who attended and made it a success! 🎉 #OLC24
Missed the live sessions? Catch up on all the talks with the video recordings here: https://buff.ly/3YwomX6
Missed the live sessions? Catch up on all the talks with the video recordings here: https://buff.ly/3YwomX6
Excited to announce that our work on the OSQP solver (https://osqp.org/) has received the Beale — Orchard-Hays Prize (https://buff.ly/3Yqutfx) for Excellence in Computational Mathematical Programming! 🎉
July 31, 2024 at 2:30 PM
Excited to announce that our work on the OSQP solver (https://osqp.org/) has received the Beale — Orchard-Hays Prize (https://buff.ly/3Yqutfx) for Excellence in Computational Mathematical Programming! 🎉