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Barna Pásztor
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2020 – today
- 2026
[c7]Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, Angelika Romanou, Antoni-Joan Solergibert i Llaquet, Barna Pásztor, Bettina Messmer, Dhia Garbaya, Eduard Frank Durech, Ido Hakimi, Juan Garcia Giraldo, Mete Ismayilzada, Negar Foroutan, Skander Moalla, Tiancheng Chen, Vinko Sabolcec, Yixuan Even Xu, Michael Aerni, Badr AlKhamissi, Ines Altemir Marinas, Mohammad Hossein Amani, Matin Ansaripour, Ilia Badanin, Harold Benoit, Emanuela Boros, Nicholas John Browning, Fabian Bösch, Maximilian Böther, Niklas Canova, Camille Challier, Clément Charmillot, Jonathan Coles, Jan Milan Deriu, Arnout Devos, Lukas Drescher, Daniil Dzenhaliou, Maud Ehrmann, Dongyang Fan, Simin Fan, Silin Gao, Miguel Gila, María Grandury, Diba Hashemi, Alexander Miserlis Hoyle, Jiaming Jiang, Mark Klein, Andrei Kucharavy, Anastasiia Kucherenko, Frederike Lübeck, Roman Machacek, Theofilos Ioannis Manitaras, Andreas Marfurt, Kyle Matoba, Simon Matrenok, Henrique Mendonça, Fawzi Roberto Mohamed, Syrielle Montariol, Luca Mouchel, Sven Najem-Meyer, Jingwei Ni, Gennaro Oliva, Matteo Pagliardini, Elia Palme, Andrei Panferov, Léo Paoletti, Marco Passerini, Ivan Pavlov, Auguste Poiroux, Kaustubh Ponkshe, Nathan Ranchin, Javier Rando, Mathieu Sauser, Jakhongir Saydaliev, Mukhammadali Sayfiddinov, Marian Schneider, Stefano Schuppli, Marco Scialanga, Andrei Semenov, Kumar Shridhar, Raghav Singhal, Anna Sotnikova, Alexander Sternfeld, Ayush Kumar Tarun, Paul Teiletche, Jannis Vamvas, Xiaozhe Yao, Hao Zhao, Alexander Ilic, Ana Klimovic, Andreas Krause, Caglar Gulcehre, David Rosenthal, Elliott Ash, Florian Tramèr, Joost VandeVondele, Livio Veraldi, Martin Rajman, Thomas C. Schulthess, Torsten Hoefler, Antoine Bosselut, Martin Jaggi, Imanol Schlag:
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments. ACL (1) 2026: 46877-46955
[i12]Daniel Yang, Samuel Stante, Florian Redhardt, Lena Libon, Parnian Kassraie, Ido Hakimi, Barna Pásztor, Andreas Krause:
RewardUQ: A Unified Framework for Uncertainty-Aware Reward Models. CoRR abs/2602.24040 (2026)
[i11]Davit Melikidze, Marian Schneider, Jessica Lam, Martin Wertich, Ido Hakimi, Barna Pásztor, Andreas Krause:
ActiveUltraFeedback: Efficient Preference Data Generation using Active Learning. CoRR abs/2603.09692 (2026)
[i10]Thomas Kleine Buening, Jonas Hübotter, Barna Pásztor, Idan Shenfeld, Giorgia Ramponi, Andreas Krause:
Aligning Language Models from User Interactions. CoRR abs/2603.12273 (2026)- 2025
[c6]Paul Friedrich, Barna Pásztor, Giorgia Ramponi:
Learning Collusion in Episodic, Inventory-Constrained Markets. AAMAS 2025: 803-812
[i9]Matej Jusup, Kenan Zhang, Zhiyuan Hu, Barna Pásztor, Andreas Krause, Francesco Corman:
Ride-Sourcing Vehicle Rebalancing with Service Accessibility Guarantees via Constrained Mean-Field Reinforcement Learning. CoRR abs/2503.24183 (2025)
[i8]Barna Pásztor, Thomas Kleine Buening, Andreas Krause:
Stackelberg Learning from Human Feedback: Preference Optimization as a Sequential Game. CoRR abs/2512.16626 (2025)- 2024
[c5]Matej Jusup, Barna Pásztor, Tadeusz Janik, Kenan Zhang, Francesco Corman, Andreas Krause, Ilija Bogunovic:
Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning. AAMAS 2024: 973-982
[c4]Barna Pásztor, Parnian Kassraie, Andreas Krause:
Bandits with Preference Feedback: A Stackelberg Game Perspective. NeurIPS 2024
[c3]Vinzenz Thoma, Barna Pásztor, Andreas Krause, Giorgia Ramponi, Yifan Hu:
Contextual Bilevel Reinforcement Learning for Incentive Alignment. NeurIPS 2024
[c2]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:
Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence. NeurIPS 2024
[i7]Vinzenz Thoma, Barna Pásztor, Andreas Krause, Giorgia Ramponi, Yifan Hu:
Stochastic Bilevel Optimization with Lower-Level Contextual Markov Decision Processes. CoRR abs/2406.01575 (2024)
[i6]Barna Pásztor, Parnian Kassraie, Andreas Krause:
Bandits with Preference Feedback: A Stackelberg Game Perspective. CoRR abs/2406.16745 (2024)
[i5]Paul Friedrich
, Barna Pásztor, Giorgia Ramponi:
Learning Collusion in Episodic, Inventory-Constrained Markets. CoRR abs/2410.18871 (2024)- 2023
[j1]Barna Pásztor, Andreas Krause, Ilija Bogunovic:
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
[i4]Matej Jusup, Barna Pásztor, Tadeusz Janik, Kenan Zhang, Francesco Corman, Andreas Krause, Ilija Bogunovic:
Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning. CoRR abs/2306.17052 (2023)- 2021
[i3]Barna Pásztor, Ilija Bogunovic, Andreas Krause:
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning. CoRR abs/2107.04050 (2021)- 2020
[c1]Katharina Börsig, Ulrik Brandes
, Barna Pásztor:
Stochastic Gradient Descent Works Really Well for Stress Minimization. GD 2020: 18-25
[i2]Katharina Börsig, Ulrik Brandes, Barna Pásztor:
Stochastic Gradient Descent Works Really Well for Stress Minimization. CoRR abs/2008.10376 (2020)
[i1]Metod Jazbec, Barna Pásztor, Felix Faltings, Nino Antulov-Fantulin, Petter N. Kolm:
On the impact of publicly available news and information transfer to financial markets. CoRR abs/2010.12002 (2020)
Coauthor Index

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last updated on 2026-07-07 01:05 CEST by the dblp team
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