Andrea Panno

📚 New Arxiv Paper

Title: Cutting Planes for Binarized Integer Programs
Authors: Pierre Bonami, Sanjeeb Dash, Anton Derkach, Andrea Lodi

Read more: https://arxiv.org/abs/2511.22838

📚 New Arxiv Paper

Title: The Cloven Traveling Salesman: Cycle Covers and the Integrality Gap of Small ATSP Instances
Authors: Alessandro Sosso, Ambrogio Maria Bernardelli, Stefano Gualandi

Read more: https://arxiv.org/abs/2511.05045

📢 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/...

🔄 Updated Arxiv Paper

Title: Mean Robust Optimization
Authors: Irina Wang, Cole Becker, Bart Van Parys, Bartolomeo Stellato

Read more: https://arxiv.org/abs/2207.10820

📢 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/...

🔄 Updated Arxiv Paper

Title: On the (linear) convergence of Generalized Newton Inexact ADMM
Authors: Zachary Frangella, Theo Diamandis, Bartolomeo Stellato, Madeleine Udell

Read more: https://arxiv.org/abs/2302.03863

📚 New Arxiv Paper

Title: On the integrality Gap of Small Asymmetric Traveling Salesman Problems: A Polyhedral and Computational Approach
Authors: Eleonora Vercesi, Janos Barta, Luca Maria Gambardella, Stefano Gualandi, Monaldo Mastrolilli

Read more: https://arxiv.org/abs/2506.10671

🔄 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

Optimal Transport for Machine Learners Optimal Transport is a foundational mathematical theory that connects optimization, partial differential equations, and probability. It offers a powerful framework for comparing probability distributi...

I have cleaned a bit my lecture notes on Optimal Transport for Machine Learners arxiv.org/abs/2505.06589

📚 New Arxiv Paper

Title: Data-driven Model Predictive Control: Asymptotic Stability despite Approximation Errors exemplified in the Koopman framework
Authors: Irene Schimperna, Karl Worthmann, Manuel Schaller, Lea Bold, Lalo Magni

Read more: https://arxiv.org/abs/2505.05951

Bartolomeo Stellato @stellato.io just gave a talk at the CRM workshop Combinatorial Optimization and Data Science on how to more effectively use first-order optimization methods for verification in the context of real-time optimization

1/3

A Monge map, i.e., a solution to optimal transport Monge problems, may not always exist, be unique, or be symmetric with respect to the source and target distributions. It was one of the motivation to introduce Kantorovich relaxation. math.univ-lyon1.fr/~santambrogi...

📚 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

🔄 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

📢 CfP: AIROSpringer Series

Submissions are open for "Shaping a Sustainable Future in the Era of Big Data" (Scopus-indexed)

📑 Short papers on Operations Research, AI & ML
🏆 Best Paper Award by SEA Vision & ARGO Vision
📅 Deadline: May 31st
equinocs.springernature.com/service/9tha...

🚀 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

Our research group CompOpt from the Università degli Studi di Pavia participated at the 3rd Workshop of the UMI Group Math4AIML in Bari, contributing with talks and posters on the latest developments in optimization and data science

@famo2spaghi.bsky.social @davideduma.bsky.social

AIROYoung 2025 - Pavia AIROYoung Workshop 2025

The abstract submission deadline for the 9th AIROYoung Workshop: "Shaping a Sustainable Future in the Era of Big Data" is now extended to January 10, 2025! 📅

🏆 Prizes:

Fedegari Best Poster Prize
OPTIT "OR in Practice" Presentation Prize
Submit your work & join us! 🌟

mate.unipv.it/ayw2025/

My book is (at last) out, just in time for Christmas!
A blog post to celebrate and present it: francisbach.com/my-book-is-o...

Huge congratulations to Lorenzo Bonasera and Simone Milanesi (pictured in the photo) for successfully defending their PhD theses. Here's to a bright future filled with success and innovation!

📚 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

Google scholar extract with 1000 citation for POT Python Optima; Transport

Today something crazy happened. POT has reached 1000 citations (total) 🤩🚀. Very proud to be part of a scientific community that acknowledges open source research software. Please continue to use, cite and contribute to POT ! Small🧵below for those interested pythonot.github.io

What happens to the hyperparameters of learned optimizers? Turns out, we learn long steps! 🚀

👇 Check out our latest work with @rajivsambharya.bsky.social!

Optimal transport, convolution, and averaging define interpolations between probability distributions. One can find vector fields advecting particles that match these interpolations. They are the Benamou-Brenier, flow-matching, and Dacorogna-Moser fields.

Finally @optb0t.bsky.social is up and running. Now it’s able to track updates of existing papers!

Today @optb0t.bsky.social doesn’t seem to work as expected. I’ll fix the issue as soon as possible! Sorry for the inconvenience.

Optimal transport computes an interpolation between two distributions using an optimal coupling. Flow matching, on the other hand, uses a simpler “independent” coupling, which is the product of the marginals.

📚 New Arxiv Paper

Title: A Frank-Wolfe Algorithm for Oracle-based Robust Optimization
Authors: Mathieu Besançon, Jannis Kurtz

Read more: http://arxiv.org/abs/2411.19848v1

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)👇

📚 New Arxiv Paper

Title: Learning optimal objective values for MILP
Authors: Lara Scavuzzo, Karen Aardal, Neil Yorke-Smith

Read more: http://arxiv.org/abs/2411.18321v1