I'm an ELLIS PhD student at Politecnico di Milano, supervised by Prof. Nicola Gatti. As a part of the ELLIS program, I visited Prof. Jiarui Gan at Oxford University. My research lies at the intersection of algorithmic game theory, online learning, and optimization. Specifically, I am interested in combining machine learning techniques with economic paradigms to design algorithms that enable strategic reasoning in competitive, multi-agent environments.

email  francesco DOT bacchiocchi AT polimi DOT it

News

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  01.04.2025

  2 papers accepted at NeurIPS 2025!

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  12.01.2024

  1 papers accepted at ICML 2025 and 1 papers accepted at EC 2025! See you in Stanford!

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  11.25.2024

  Our paper "The Sample Complexity of Stackelberg Games" has received an oral presentation at AISTATS 2025. See you in Phuket!

Publications

Conference Papers

• C11 Markov persuasion processes: Learning to persuade from scratch

  Bacchiocchi F.*, Stradi F.*, Castiglioni M., Marchesi M., Gatti N.
  Advances in Neural Information Processing Systems (NeurIPS), 2025.
  [Paper]

• C10 Online Bilateral Trade With Minimal Feedback: Don’t Waste Seller’s Time

  Bacchiocchi F., Castiglioni M., Colomboni R., Marchesi M.
  Advances in Neural Information Processing Systems (NeurIPS), 2025.
  

• C9 Regret Minimization for Piecewise Linear Rewards: Contracts, Auctions, and Beyond

  Bacchiocchi F., Castiglioni M., Marchesi A., Gatti N.
  The ACM Conference on Economics and Computations (EC), 2025.
  [Paper]

• C8 Contract Design Under Approximate Best Responses

  Bacchiocchi F., Gan J., Castiglioni M., Marchesi A., Gatti N.
  International Conference on Machine Learning (ICML), 2025.
  [Paper]

• C7 The Sample Complexity of Stackelberg Games

  Bacchiocchi F., Bollini M., Castiglioni M., Marchesi A., Gatti N.
  International Conference on Artificial Intelligence and Statistics (AISTATS), 2025. (oral presentation, top ~2%)
  [Paper]

• C6 Online Bayesian Persuasion without a Clue

  Bacchiocchi F., Bollini M., Castiglioni M., Marchesi A., Gatti N.
  Advances in Neural Information Processing Systems (NeurIPS), 2024. (spotlight presentation, top ~2%)
  [Paper]

• C5 Bandits with Ranking Feedback

  Maran D.*, Bacchiocchi F.*, Stradi F.*, Castiglioni M., Restelli M., Gatti N.
  Advances in Neural Information Processing Systems (NeurIPS), 2024.
  

• C4 Learning Optimal Contracts: How to Exploit Small Action Spaces

  Bacchiocchi F., Castiglioni M., Marchesi A., Gatti N.
  The 12th International Conference on Learning Representations (ICLR), 2024.
  [Paper]

• C3 Online Learning with Off-Policy Feedback in Adversarial MDPs

  Bacchiocchi F.*, Stradi F.*, Papini M., Metelli A., Gatti N.
  International Joint Conferences on Artificial Intelligence (IJCAI), 2024.
  [Paper]

• C2 Autoregressive Bandits

  Bacchiocchi F.*, Genalti G.*, Maran D.*, Mussi M.*, Restelli M., Gatti N., Metelli A.
  International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.
  [Paper]

• C1 Public Signaling in Bayesian Ad Auctions

  Bacchiocchi F., Castiglioni M., Marchesi A., Romano G., Gatti N.
  International Joint Conferences on Artificial Intelligence (IJCAI), 2022.
  [Paper]