JoyTag: a battery-less videogame controller exploiting RFID backscattering: demo. - Gaia Maselli; Mauro Piva; Giorgia Ramponi; Deepak Ganesan (MobiCom, 2016)

Content-based Classification of Political Inclinations of Twitter Users. - Marco Di Giovanni 001; Marco Brambilla 001; Stefano Ceri; Florian Daniel; Giorgia Ramponi (IEEE BigData, 2018)

Iterative Knowledge Extraction from Social Networks. - Marco Brambilla 001; Stefano Ceri; Florian Daniel; Marco Di Giovanni 001; Andrea Mauri 001; Giorgia Ramponi (WWW (Companion Volume), 2018)

T-CGAN: Conditional Generative Adversarial Network for Data Augmentation in Noisy Time Series with Irregular Sampling. - Giorgia Ramponi; Pavlos Protopapas; Marco Brambilla 001; Ryan Janssen (CoRR, 2018)

Assigning users to domains of interest based on content and network similarity with champion instances. - Mattia Gasparini; Giorgia Ramponi; Marco Brambilla 001; Stefano Ceri (ASONAM, 2019)

News Sharing User Behaviour on Twitter: A Comprehensive Data Collection of News Articles and Social Interactions. - Giovanni Brena; Marco Brambilla 001; Stefano Ceri; Marco Di Giovanni 001; Francesco Pierri 002; Giorgia Ramponi (ICWSM, 2019)

Vocabulary-based community detection and characterization. - Giorgia Ramponi; Marco Brambilla 001; Stefano Ceri; Florian Daniel; Marco Di Giovanni 001 (SAC, 2019)

Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions. - Giorgia Ramponi; Amarildo Likmeta; Alberto Maria Metelli; Andrea Tirinzoni; Marcello Restelli (AISTATS, 2020)

Controlled Text Generation with Adversarial Learning. - Federico Betti; Giorgia Ramponi; Massimo Piccardi (INLG, 2020)

Inverse Reinforcement Learning from a Gradient-based Learner. - Giorgia Ramponi; Gianluca Drappo; Marcello Restelli (NeurIPS, 2020)

Newton-based Policy Optimization for Games. - Giorgia Ramponi; Marcello Restelli (CoRR, 2020)

Content-based characterization of online social communities. - Giorgia Ramponi; Marco Brambilla 001; Stefano Ceri; Florian Daniel; Marco Di Giovanni 001 (Inf. Process. Manag., 2020)

Newton Optimization on Helmholtz Decomposition for Continuous Games. - Giorgia Ramponi; Marcello Restelli (AAAI, 2021)

Provably Efficient Learning of Transferable Rewards. - Alberto Maria Metelli; Giorgia Ramponi; Alessandro Concetti; Marcello Restelli (ICML, 2021)

Learning in Non-Cooperative Configurable Markov Decision Processes. - Giorgia Ramponi; Alberto Maria Metelli; Alessandro Concetti; Marcello Restelli (NeurIPS, 2021)

Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems. - Amarildo Likmeta; Alberto Maria Metelli; Giorgia Ramponi; Andrea Tirinzoni; Matteo Giuliani; Marcello Restelli (Mach. Learn., 2021)

Challenges and Opportunities in Multi-Agent Reinforcement Learning. - Giorgia Ramponi (2021)

Newton-based Policy Search for Networked Multi-agent Reinforcement Learning. - Giorgio Manganini; Simone Fioravanti; Giorgia Ramponi (CDC, 2022)

Active Exploration for Inverse Reinforcement Learning. - David Lindner; Andreas Krause 001; Giorgia Ramponi (NeurIPS, 2022)

Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions. - Antonio Terpin; Nicolas Lanzetti; Batuhan Yardim; Florian Dörfler; Giorgia Ramponi (NeurIPS, 2022)

Learning on streaming graphs with experience replay. - Massimo Perini; Giorgia Ramponi; Paris Carbone; Vasiliki Kalavri (SAC, 2022)

Learning in Markov games: Can we exploit a general-sum opponent? - Giorgia Ramponi; Marcello Restelli (UAI, 2022)

Do you pay for Privacy in Online learning? - Amartya Sanyal; Giorgia Ramponi (CoRR, 2022)

On Imitation in Mean-field Games. - Giorgia Ramponi; Pavel Kolev; Olivier Pietquin; Niao He; Mathieu Laurière; Matthieu Geist (NeurIPS, 2023)

Cancellation-Free Regret Bounds for Lagrangian Approaches in Constrained Markov Decision Processes. - Adrian Müller 002; Pragnya Alatur; Giorgia Ramponi; Niao He (CoRR, 2023)

Provably Learning Nash Policies in Constrained Markov Potential Games. - Pragnya Alatur; Giorgia Ramponi; Niao He; Andreas Krause 001 (AAMAS, 2024)

Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning. - Mirco Mutti; Riccardo De Santi; Marcello Restelli; Alexander Marx 001; Giorgia Ramponi (ICLR, 2024)

Truly No-Regret Learning in Constrained MDPs. - Adrian Müller 002; Pragnya Alatur; Volkan Cevher; Giorgia Ramponi; Niao He (ICML, 2024)

Contextual Bilevel Reinforcement Learning for Incentive Alignment. - Vinzenz Thoma; Barna Pásztor; Andreas Krause 001; Giorgia Ramponi; Yifan Hu (NeurIPS, 2024)

Stochastic Bilevel Optimization with Lower-Level Contextual Markov Decision Processes. - Vinzenz Thoma; Barna Pásztor; Andreas Krause 001; Giorgia Ramponi; Yifan Hu (CoRR, 2024)

Improved Sample Complexity for Global Convergence of Actor-Critic Algorithms. - Navdeep Kumar; Priyank Agrawal; Giorgia Ramponi; Kfir Yehuda Levy; Shie Mannor (CoRR, 2024)

On Multi-Agent Inverse Reinforcement Learning. - Till Freihaut; Giorgia Ramponi (CoRR, 2024)

Preference Elicitation for Offline Reinforcement Learning. - Alizée Pace; Bernhard Schölkopf; Gunnar Rätsch; Giorgia Ramponi (ICLR, 2025)

Learning Collusion in Episodic, Inventory-Constrained Markets. - Paul Friedrich 001; Barna Pásztor; Giorgia Ramponi (AAMAS, 2025)

Dual Formulation for Non-Rectangular Lp Robust Markov Decision Processes. - Navdeep Kumar; Adarsh Gupta; Maxence Mohamed Elfatihi; Giorgia Ramponi; Kfir Yehuda Levy; Shie Mannor (CoRR, 2025)

Clustered KL-barycenter design for policy evaluation. - Simon Weissmann; Till Freihaut; Claire Vernade; Giorgia Ramponi; Leif Döring (CoRR, 2025)

Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning. - Till Freihaut; Luca Viano; Volkan Cevher; Matthieu Geist; Giorgia Ramponi (CoRR, 2025)

Policy Gradient with Tree Search: Avoiding Local Optimas through Lookahead. - Uri Koren; Navdeep Kumar; Uri Gadot; Giorgia Ramponi; Kfir Yehuda Levy; Shie Mannor (CoRR, 2025)

Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games. - David Guzman Piedrahita; Yongjin Yang; Mrinmaya Sachan; Giorgia Ramponi; Bernhard Schölkopf; Zhijing Jin 001 (CoRR, 2025)