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Andrea Panno

@andrepanno.bsky.social
59 followers 95 following 7 posts

Computer Engineering - Intelligent Control Systems (MSc) @unipv | Bioengineering (BSc) @unipv | Passionate about ML, optimization and control theory. 🌐: badcortex.github.io 🤖: @optb0t.bsky.social

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Reposted by Andrea Panno
Gabriel Peyré @gabrielpeyre.bsky.social · 16/06/2026
The alpha version of my new book "Optimal Transport for Machine Learners" is out, with in particular an online version with interactive figures www.gpeyre.com/ot4ml/
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ArXiv math.OC Optimization and Control @optb0t.bsky.social · 30/01/2026
📚 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: arxiv.org/abs/2601.21990
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Bartolomeo Stellato @stella.to · 18/12/2025
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
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ArXiv math.OC Optimization and Control @optb0t.bsky.social · 01/12/2025
📚 New Arxiv Paper Title: Cutting Planes for Binarized Integer Programs Authors: Pierre Bonami, Sanjeeb Dash, Anton Derkach, Andrea Lodi Read more: arxiv.org/abs/2511.22838
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ArXiv math.OC Optimization and Control @optb0t.bsky.social · 10/11/2025
📚 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: arxiv.org/abs/2511.05045
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Bartolomeo Stellato @stella.to · 08/09/2025
📢 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/...
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ArXiv math.OC Optimization and Control @optb0t.bsky.social · 13/08/2025
🔄 Updated Arxiv Paper Title: Mean Robust Optimization Authors: Irina Wang, Cole Becker, Bart Van Parys, Bartolomeo Stellato Read more: arxiv.org/abs/2207.10820
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Bartolomeo Stellato @stella.to · 08/08/2025
📢 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/...
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ArXiv math.OC Optimization and Control @optb0t.bsky.social · 23/06/2025
🔄 Updated Arxiv Paper Title: On the (linear) convergence of Generalized Newton Inexact ADMM Authors: Zachary Frangella, Theo Diamandis, Bartolomeo Stellato, Madeleine Udell Read more: arxiv.org/abs/2302.03863
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ArXiv math.OC Optimization and Control @optb0t.bsky.social · 13/06/2025
📚 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: arxiv.org/abs/2506.10671
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ArXiv math.OC Optimization and Control @optb0t.bsky.social · 27/05/2025
🔄 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: arxiv.org/abs/2412.11330
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Gabriel Peyré @gabrielpeyre.bsky.social · 13/05/2025
I have cleaned a bit my lecture notes on Optimal Transport for Machine Learners arxiv.org/abs/2505.06589
arxiv.org
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...
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ArXiv math.OC Optimization and Control @optb0t.bsky.social · 12/05/2025
📚 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: arxiv.org/abs/2505.05951
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Thiago Serra @thserra.bsky.social · 07/05/2025
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
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Samuel Vaiter @samuelvaiter.com · 21/04/2025
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...
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ArXiv math.OC Optimization and Control @optb0t.bsky.social · 14/04/2025
📚 New Arxiv Paper Title: Data Compression for Fast Online Stochastic Optimization Authors: Irina Wang, Marta Fochesato, Bartolomeo Stellato Read more: arxiv.org/abs/2504.08097
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ArXiv math.OC Optimization and Control @optb0t.bsky.social · 08/04/2025
🔄 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: arxiv.org/abs/2412.11330
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CompOpt @compopt.bsky.social · 12/03/2025
📢 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...
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Bartolomeo Stellato @stella.to · 26/02/2025
🚀 Gave a talk at the EURO @euroonline.bsky.social Seminar Series on "Data-Driven Algorithm Design and Verification for Parametric Convex Optimization"! 🎥 Recording: euroorml.euro-online.org Big thanks to Dolores Romero Morales for the invitation! 🙌 #MachineLearning #Optimization #ORMS
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CompOpt @compopt.bsky.social · 31/01/2025
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
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Eleonora Vercesi @eleonoravercesi.bsky.social · 02/01/2025
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/
mate.unipv.it
AIROYoung 2025 - Pavia
AIROYoung Workshop 2025
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Francis Bach @bachfrancis.bsky.social · 21/12/2024
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...
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CompOpt @compopt.bsky.social · 18/12/2024
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!
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ArXiv math.OC Optimization and Control @optb0t.bsky.social · 17/12/2024
📚 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: arxiv.org/abs/2412.11330
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Rémi Flamary @rflamary.bsky.social · 13/12/2024
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
Google scholar extract with 1000 citation for POT Python Optima; Transport
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Bartolomeo Stellato @stella.to · 09/12/2024
What happens to the hyperparameters of learned optimizers? Turns out, we learn long steps! 🚀 👇 Check out our latest work with @rajivsambharya.bsky.social!
arxiv.org
Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization
We introduce a machine-learning framework to learn the hyperparameter sequence of first-order methods (e.g., the step sizes in gradient descent) to quickly solve parametric convex optimization problem...
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Gabriel Peyré @gabrielpeyre.bsky.social · 04/12/2024
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.
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Andrea Panno @andrepanno.bsky.social · 03/12/2024
Today @optb0t.bsky.social doesn’t seem to work as expected. I’ll fix the issue as soon as possible! Sorry for the inconvenience.
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Gabriel Peyré @gabrielpeyre.bsky.social · 02/12/2024
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.
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ArXiv math.OC Optimization and Control @optb0t.bsky.social · 02/12/2024
📚 New Arxiv Paper Title: A Frank-Wolfe Algorithm for Oracle-based Robust Optimization Authors: Mathieu Besançon, Jannis Kurtz Read more: arxiv.org/abs/2411.19848v1
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Bartolomeo Stellato @stella.to · 29/11/2024
Our paper "Mean robust optimization" has been accepted to Mathematical Programming: buff.ly/3B3VpIG 📰 Arxiv (longer version): buff.ly/3CT4aWD 👩‍💻 Code: buff.ly/3ATqAXh w/ Irina Wang, Cole Becker, and Bart van Parys A thread 🧵 (1/7)👇
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ArXiv math.OC Optimization and Control @optb0t.bsky.social · 28/11/2024
📚 New Arxiv Paper Title: Learning optimal objective values for MILP Authors: Lara Scavuzzo, Karen Aardal, Neil Yorke-Smith Read more: arxiv.org/abs/2411.18321v1
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CompOpt @compopt.bsky.social · 27/11/2024
Registration for #AYW2025 is now open! You can join and present your research in OR through a talk or a poster 📅 Deadline: Jan 3 Two awards will recognize high-quality contributions: - OPTIT "OR in Practice" Presentation Prize - Best Poster Prize mate.unipv.it/ayw2025/
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Eleonora Vercesi @eleonoravercesi.bsky.social · 27/11/2024
📯📯📯 Registration is now open for the 9th AIRO Young Workshop: "Shaping a Sustainable Future in the Era of Big Data" . Don’t miss out! Secure your spot today! #ORMS mate.unipv.it/ayw2025/#reg...
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François Fleuret @francois.fleuret.org · 26/11/2024
My deep learning course at the University of Geneva is available on-line. 1000+ slides, ~20h of screen-casts. Full of examples in PyTorch. fleuret.org/dlc/ And my "Little Book of Deep Learning" is available as a phone-formatted pdf (nearing 700k downloads!) fleuret.org/lbdl/
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Andrea Panno @andrepanno.bsky.social · 26/11/2024
Recently, new people started following me. Here's a reminder that I've developed an Arxiv math.OC (Optimization and Control) bot that automatically posts newly published articles every day! 🤖: @optb0t.bsky.social
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ArXiv math.OC Optimization and Control @optb0t.bsky.social · 26/11/2024
📚 New Arxiv Paper Title: Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization Authors: Rajiv Sambharya, Bartolomeo Stellato Read more: arxiv.org/abs/2411.15717v1
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Eleonora Vercesi @eleonoravercesi.bsky.social · 22/11/2024
First Bluesky post just to announce the 🎺 9th AIROYoung Workshop 🎺 that I am co-organizing in Pavia! Don't miss the opportunity to be part of it! To visit the event webpage: 🔗https://mate.unipv.it/ayw2025/
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Andrea Raiconi @andrearaiconi.bsky.social · 21/11/2024
I copied the fantastic #orms starter pack by @emilyltucker.bsky.social in a list, as it allows to add a custom feed of the users posts to your profile: bsky.app/profile/did:... Still trying to figure thing out so it may be a bad idea for some reason - anyway, here's it if you're interested.
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CompOpt @compopt.bsky.social · 20/11/2024
We are happy to announce the 9th AIROYoung Workshop, aimed at students and early-stage researchers interested in Operations Research 📣 "Shaping a Sustainable Future in the Era of Big Data" 📅 Feb 26-28, 2025 📍 Pavia, Italy 🆓 The event is free, grants available 🌐 mate.unipv.it/ayw2025/
mate.unipv.it
AIROYoung 2025 - Pavia
AIROYoung Workshop 2025
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Davide Duma @davideduma.bsky.social · 20/11/2024
#AYW2025 represents an opportunity for PhD students and young researchers in operations research and data science to share ideas and develop collaborations. Participants can present their work in a talk or a poster. We look forward to welcoming you to Pavia!
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Dirk Lorenz @dirque.bsky.social · 18/11/2024
I made a #starterpack for computational math 💻🧮 so please 1. share 2. let me know if you want to be on the list! (I have many new followers which I do not know well yet, so I'm sorry if you follow me and are not on here, but want to - drop me a note and I'll add you!) go.bsky.app/DXdZkzV
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Andrea Panno @andrepanno.bsky.social · 18/11/2024
I’ve built an async bot for Arxiv math.Oc! It posts the latest computational math papers every day at 9 UTC. No need to keep checking—just sit back and get your updates at the same time each day! Let me know what you think! #optimization #arxiv #math.oc
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Andrea Panno @andrepanno.bsky.social · 18/11/2024
I’ve built an async bot for Arxiv math.Oc! It posts the latest computational math papers every day at 9 UTC. No need to keep checking—just sit back and get your updates at the same time each day! Let me know what you think! #optimization #arxiv #math.oc
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