📚 New Arxiv Paper
Title: Batched First-Order Methods for Parallel LP Solving in MIP
Authors: Nicolas Blin, Stefano Gualandi, Christopher Maes, Andrea Lodi, Bartolomeo Stellato
Read more: https://arxiv.org/abs/2601.21990
New preprint! 📄 Data-driven convergence guarantees for first-order methods via PEP + Wasserstein DRO.
Less pessimistic probabilistic rates that reflect how your solver actually behaves 🎯
📎 arxiv.org/abs/2511.17834
💻 github.com/stellatogrp/dro_pep
w/ Jisun Park & Vinit Ranjan #optimization #fom
📚 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
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
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
