Barna Pásztor

19 papers A* 3A 3Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ActiveUltraFeedback: Efficient Preference Data Generation using Active Learning. CoRR Davit Melikidze, Marian Schneider, Jessica Lam, Martin Wertich, Ido Hakimi, Barna Pásztor, Andreas Krause
2026	J	`jnl`	Aligning Language Models from User Interactions. CoRR Thomas Kleine Buening, Jonas Hübotter, Barna Pásztor, Idan Shenfeld, Giorgia Ramponi, Andreas Krause
2026	J	`jnl`	RewardUQ: A Unified Framework for Uncertainty-Aware Reward Models. CoRR Daniel Yang, Samuel Stante, Florian Redhardt, Lena Libon, Parnian Kassraie, Ido Hakimi, Barna Pásztor, Andreas Krause
2025	A	`conf`	Learning Collusion in Episodic, Inventory-Constrained Markets. AAMAS Paul Friedrich, Barna Pásztor, Giorgia Ramponi
2025	J	`jnl`	Ride-Sourcing Vehicle Rebalancing with Service Accessibility Guarantees via Constrained Mean-Field Reinforcement Learning. CoRR Matej Jusup, Kenan Zhang, Zhiyuan Hu, Barna Pásztor, Andreas Krause, Francesco Corman
2025	J	`jnl`	Stackelberg Learning from Human Feedback: Preference Optimization as a Sequential Game. CoRR Barna Pásztor, Thomas Kleine Buening, Andreas Krause
2024	A*	`conf`	Bandits with Preference Feedback: A Stackelberg Game Perspective. NeurIPS Barna Pásztor, Parnian Kassraie, Andreas Krause
2024	J	`jnl`	Bandits with Preference Feedback: A Stackelberg Game Perspective. CoRR Barna Pásztor, Parnian Kassraie, Andreas Krause
2024	A*	`conf`	Contextual Bilevel Reinforcement Learning for Incentive Alignment. NeurIPS Vinzenz Thoma, Barna Pásztor, Andreas Krause, Giorgia Ramponi, Yifan Hu
2024	J	`jnl`	Learning Collusion in Episodic, Inventory-Constrained Markets. CoRR Paul Friedrich, Barna Pásztor, Giorgia Ramponi
2024	A*	`conf`	Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence. NeurIPS 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
2024	A	`conf`	Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning. AAMAS Matej Jusup, Barna Pásztor, Tadeusz Janik, Kenan Zhang, Francesco Corman, Andreas Krause, Ilija Bogunovic
2024	J	`jnl`	Stochastic Bilevel Optimization with Lower-Level Contextual Markov Decision Processes. CoRR Vinzenz Thoma, Barna Pásztor, Andreas Krause, Giorgia Ramponi, Yifan Hu
2023	J	`jnl`	Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning. Trans. Mach. Learn. Res. Barna Pásztor, Andreas Krause, Ilija Bogunovic
2023	J	`jnl`	Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning. CoRR Matej Jusup, Barna Pásztor, Tadeusz Janik, Kenan Zhang, Francesco Corman, Andreas Krause, Ilija Bogunovic
2021	J	`jnl`	Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning. CoRR Barna Pásztor, Ilija Bogunovic, Andreas Krause
2020	J	`jnl`	On the impact of publicly available news and information transfer to financial markets. CoRR Metod Jazbec, Barna Pásztor, Felix Faltings, Nino Antulov-Fantulin, Petter N. Kolm
2020	A	`conf`	Stochastic Gradient Descent Works Really Well for Stress Minimization. GD Katharina Börsig, Ulrik Brandes, Barna Pásztor
2020	J	`jnl`	Stochastic Gradient Descent Works Really Well for Stress Minimization. CoRR Katharina Börsig, Ulrik Brandes, Barna Pásztor