Gábor Bartók
Gábor Bartók
ETH Zurich
Verified email at ualberta.ca - Homepage
TitleCited byYear
Incentivizing users for balancing bike sharing systems
A Singla, M Santoni, G Bartók, P Mukerji, M Meenen, A Krause
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
1082015
Partial monitoring—classification, regret bounds, and algorithms
G Bartók, DP Foster, D Pál, A Rakhlin, C Szepesvári
Mathematics of Operations Research 39 (4), 967-997, 2014
712014
Near-Optimally Teaching the Crowd to Classify.
A Singla, I Bogunovic, G Bartók, A Karbasi, A Krause
ICML 1 (2), 3, 2014
642014
An efficient algorithm for learning with semi-bandit feedback
G Neu, G Bartók
International Conference on Algorithmic Learning Theory, 234-248, 2013
482013
Minimax regret of finite partial-monitoring games in stochastic environments
G Bartók, D Pál, C Szepesvári
Proceedings of the 24th Annual Conference on Learning Theory, 133-154, 2011
382011
An adaptive algorithm for finite stochastic partial monitoring
G Bartók, N Zolghadr, C Szepesvári
arXiv preprint arXiv:1206.6487, 2012
322012
Toward a classification of finite partial-monitoring games
A Antos, G Bartók, D Pál, C Szepesvári
Theoretical Computer Science 473, 77-99, 2013
222013
Partial monitoring with side information
G Bartók, C Szepesvári
International Conference on Algorithmic Learning Theory, 305-319, 2012
192012
Toward a classification of finite partial-monitoring games
G Bartók, D Pál, C Szepesvári
International Conference on Algorithmic Learning Theory, 224-238, 2010
192010
A near-optimal algorithm for finite partial-monitoring games against adversarial opponents
G Bartók
Conference on Learning Theory, 696-710, 2013
142013
On actively teaching the crowd to classify
A Singla, I Bogunovic, G Bartók, A Karbasi, A Krause
NIPS Workshop on Data Driven Education, 2013
132013
Importance weighting without importance weights: An efficient algorithm for combinatorial semi-bandits
G Neu, G Bartók
The Journal of Machine Learning Research 17 (1), 5355-5375, 2016
112016
Efficient partial monitoring with prior information
HP Vanchinathan, G Bartók, A Krause
Advances in Neural Information Processing Systems, 1691-1699, 2014
92014
The role of information in online learning
G Bartók
62012
Models of active learning in group-structured state spaces
G Bartók, C Szepesvári, S Zilles
Information and Computation 208 (4), 364-384, 2010
32010
Non-trivial two-armed partial-monitoring games are bandits
A Antos, G Bartók, C Szepesvári
arXiv preprint arXiv:1108.4961, 2011
12011
Active learning of group-structured environments
G Bartók, C Szepesvári, S Zilles
International Conference on Algorithmic Learning Theory, 329-343, 2008
12008
Fast Task-Aware Architecture Inference
E Kokiopoulou, A Hauth, L Sbaiz, A Gesmundo, G Bartok, J Berent
arXiv preprint arXiv:1902.05781, 2019
2019
Contextual Procurement in Online Crowdsourcing Markets
A Singla, I Lienert, G Bartók, A Krause
Second AAAI Conference on Human Computation and Crowdsourcing, 2014
2014
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Articles 1–19