Barna Pásztor

According to our database, Barna Pásztor authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Aligning Language Models from User Interactions.

Thomas Kleine Buening, Jonas Hübotter, Barna Pásztor, Idan Shenfeld, Giorgia Ramponi, Andreas Krause

CoRR, March, 2026

ActiveUltraFeedback: Efficient Preference Data Generation using Active Learning.

Davit Melikidze, Marian Schneider, Jessica Lam, Martin Wertich, Ido Hakimi, Barna Pásztor, Andreas Krause

CoRR, March, 2026

RewardUQ: A Unified Framework for Uncertainty-Aware Reward Models.

Daniel Yang, Samuel Stante, Florian Redhardt, Lena Libon, Parnian Kassraie, Ido Hakimi, Barna Pásztor, Andreas Krause

CoRR, February, 2026

2025

Stackelberg Learning from Human Feedback: Preference Optimization as a Sequential Game.

Barna Pásztor, Thomas Kleine Buening, Andreas Krause

CoRR, December, 2025

Ride-Sourcing Vehicle Rebalancing with Service Accessibility Guarantees via Constrained Mean-Field Reinforcement Learning.

Matej Jusup, Kenan Zhang, Zhiyuan Hu, Barna Pásztor, Andreas Krause, Francesco Corman

CoRR, March, 2025

Learning Collusion in Episodic, Inventory-Constrained Markets.

Paul Friedrich, Barna Pásztor, Giorgia Ramponi

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

Stochastic Bilevel Optimization with Lower-Level Contextual Markov Decision Processes.

Vinzenz Thoma, Barna Pásztor, Andreas Krause, Giorgia Ramponi, Yifan Hu

CoRR, 2024

Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence.

Rakshit S. Trivedi, Akbir Khan, Jesse Clifton, Lewis Hammond, Edgar A. Duéñez-Guzmán, Dipam Chakraborty, John P. Agapiou, Jayd Matyas, Alexander Sasha Vezhnevets, Barna Pásztor, Yunke Ao, Omar G. Younis, Jiawei Huang, Benjamin Swain, Haoyuan Qin, Mian Deng, Ziwei Deng, Utku Erdoganaras, Yue Zhao, Marko Tesic, Natasha Jaques, Jakob N. Foerster, Vincent Conitzer, José Hernández-Orallo, Dylan Hadfield-Menell, Joel Z. Leibo

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Contextual Bilevel Reinforcement Learning for Incentive Alignment.

Vinzenz Thoma, Barna Pásztor, Andreas Krause, Giorgia Ramponi, Yifan Hu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Bandits with Preference Feedback: A Stackelberg Game Perspective.

Barna Pásztor, Parnian Kassraie, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning.

Matej Jusup, Barna Pásztor, Tadeusz Janik, Kenan Zhang, Francesco Corman, Andreas Krause, Ilija Bogunovic

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning.

Barna Pásztor, Andreas Krause, Ilija Bogunovic

Trans. Mach. Learn. Res., 2023

2020

On the impact of publicly available news and information transfer to financial markets.

Metod Jazbec, Barna Pásztor, Felix Faltings, Nino Antulov-Fantulin, Petter N. Kolm

CoRR, 2020

Stochastic Gradient Descent Works Really Well for Stress Minimization.

Katharina Börsig, Ulrik Brandes, Barna Pásztor

Proceedings of the Graph Drawing and Network Visualization - 28th International Symposium, 2020