Ramponi, Giorgia

1. T-CGAN: Conditional Generative Adversarial Network for Data Augmentation in Noisy Time Series with Irregular Sampling
   2018/11/20 by Ramponi, Giorgia, Protopapas, Pavlos, Brambilla, Marco +1 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Active Exploration for Inverse Reinforcement Learning
   2022/07/18 by Lindner, David, Krause, Andreas, Ramponi, Giorgia · 3 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. On Imitation in Mean-field Games
   2023/06/26 by Giorgia Ramponi, Pavel Kolev, Ramponi, Giorgia +9 · 3 citations
   Computer Science · Social Sciences · #Reinforcement Learning in Robotics #Experimental Behavioral Economics Studies
4. Truly No-Regret Learning in Constrained MDPs
   2024/02/24 by Adrian Müller, Müller, Adrian, Pragnya Alatur +7 · 3 citations
   Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification
5. Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions
   2022/10/20 by Terpin, Antonio, Lanzetti, Nicolas, Yardim, Batuhan +2 · 2 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Systems and Control (eess.SY) #electronic engineering #information engineering
6. Contextual Bilevel Reinforcement Learning for Incentive Alignment
   2024/06/03 by Vinzenz Thoma, Thoma, Vinzenz, Barna Pásztor +7 · 3 citations
   Decision Sciences · Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Risk and Portfolio Optimization #Stochastic processes and financial applications
7. Do you pay for Privacy in Online learning?
   2022/10/10 by Amartya Sanyal, Giorgia Ramponi, Sanyal, Amartya +1 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
8. Provably Learning Nash Policies in Constrained Markov Potential Games
   2023/06/13 by Alatur, Pragnya, Ramponi, Giorgia, He, Niao +1 · 1 citation
   #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
9. Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games
   2025/06/29 by Piedrahita, David Guzman, Yang, Yongjin, Sachan, Mrinmaya +3 · 3 citations
   #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences