Matteo Castiglioni
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
9
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | COLT | Truly Adapting to Adversarial Constraints in Constrained MABs. | Francesco Emanuele Stradi, Kalana Kalupahana, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti |
| 2026 | SODA | Better Regret Rates in Bilateral Trade via Sublinear Budget Violation. | Anna Lunghi, Matteo Castiglioni, Alberto Marchesi |
| 2026 | STOC | The Complexity of Min-Max Optimization with Product Constraints. | Martino Bernasconi, Matteo Castiglioni |
| 2026 | STOC | The Sample Complexity of Uniform Approximation for Multi-dimensional CDFs and Fixed-Price Mechanisms. | Matteo Castiglioni, Anna Lunghi, Alberto Marchesi |
| 2025 | AISTATS | The Sample Complexity of Stackelberg Games. | Francesco Bacchiocchi, Matteo Bollini, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti |
| 2025 | ICLR | Feature-Based Online Bilateral Trade. | Solenne Gaucher, Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Vianney Perchet |
| 2025 | ICLR | Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization. | Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti |
| 2025 | ICML | Contract Design Under Approximate Best Responses. | Francesco Bacchiocchi, Jiarui Gan, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti |
| 2025 | ICML | No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization. | Martino Bernasconi, Matteo Castiglioni, Andrea Celli |
| 2025 | ICML | Learning Adversarial MDPs with Stochastic Hard Constraints. | Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti |
| 2025 | ICML | Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints. | Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti |
| 2025 | KDD | Safe Online Bid Optimization with Return on Investment and Budget Constraints. | Matteo Castiglioni, Alessandro Nuara, Giulia Romano, Giorgio Spadaro, Francesco Trov, Nicola Gatti |
| 2025 | SODA | Hiring for An Uncertain Task: Joint Design of Information and Contracts. | Matteo Castiglioni, Junjie Chen |
| 2025 | SODA | A Reduction from Multi-Parameter to Single-Parameter Bayesian Contract Design. | Matteo Castiglioni, Junjie Chen, Minming Li, Haifeng Xu, Song Zuo |
| 2024 | ICLR | Learning Optimal Contracts: How to Exploit Small Action Spaces. | Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti |
| 2024 | ICLR | Bandits with Replenishable Knapsacks: the Best of both Worlds. | Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco |
| 2024 | ICLR | Online Information Acquisition: Hiring Multiple Agents. | Federico Cacciamani, Matteo Castiglioni, Nicola Gatti |
| 2024 | ICML | Online Learning under Budget and ROI Constraints via Weak Adaptivity. | Matteo Castiglioni, Andrea Celli, Christian Kroer |
| 2024 | ICML | Graph-Triggered Rising Bandits. | Gianmarco Genalti, Marco Mussi, Nicola Gatti, Marcello Restelli, Matteo Castiglioni, Alberto Maria Metelli |
| 2024 | ICML | Online Learning in CMDPs: Handling Stochastic and Adversarial Constraints. | Francesco Emanuele Stradi, Jacopo Germano, Gianmarco Genalti, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti |
| 2024 | STOC | No-Regret Learning in Bilateral Trade via Global Budget Balance. | Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco |
| 2023 | ICML | Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion. | Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Francesco Trov, Nicola Gatti |
| 2023 | ICML | Constrained Phi-Equilibria. | Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Francesco Trov, Nicola Gatti |
| 2023 | ICML | Online Mechanism Design for Information Acquisition. | Federico Cacciamani, Matteo Castiglioni, Nicola Gatti |
| 2022 | AAAI | Efficiency of Ad Auctions with Price Displaying. | Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti, Alberto Marchesi, Giulia Romano |
| 2022 | AAAI | Signaling in Posted Price Auctions. | Matteo Castiglioni, Giulia Romano, Alberto Marchesi, Nicola Gatti |
| 2022 | ICML | Online Learning with Knapsacks: the Best of Both Worlds. | Matteo Castiglioni, Andrea Celli, Christian Kroer |
| 2022 | ICML | Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints. | Martino Bernasconi, Federico Cacciamani, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trov |
| 2022 | IJCAI | Public Signaling in Bayesian Ad Auctions. | Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi, Giulia Romano, Nicola Gatti |
| 2022 | IJCAI | The Power of Media Agencies in Ad Auctions: Improving Utility through Coordinated Bidding. | Giulia Romano, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti |
| 2021 | AAAI | Persuading Voters in District-based Elections. | Matteo Castiglioni, Nicola Gatti |
| 2021 | AAAI | Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry. | Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti |
| 2021 | ICML | Multi-Receiver Online Bayesian Persuasion. | Matteo Castiglioni, Alberto Marchesi, Andrea Celli, Nicola Gatti |
| 2020 | AAAI | Persuading Voters: It's Easy to Whisper, It's Hard to Speak Loud. | Matteo Castiglioni, Andrea Celli, Nicola Gatti |
| 2020 | AAAI | Election Control in Social Networks via Edge Addition or Removal. | Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti |
| 2019 | IJCAI | Be a Leader or Become a Follower: The Strategy to Commit to with Multiple Leaders. | Matteo Castiglioni, Alberto Marchesi, Nicola Gatti |
| 2019 | IJCAI | Leadership in Congestion Games: Multiple User Classes and Non-Singleton Actions. | Alberto Marchesi, Matteo Castiglioni, Nicola Gatti |