Active Learning of Group-Structured Environments. - Gábor Bartók; Csaba Szepesvári; Sandra Zilles (ALT, 2008)

Toward a Classification of Finite Partial-Monitoring Games. - Gábor Bartók; Dávid Pál; Csaba Szepesvári (ALT, 2010)

Models of active learning in group-structured state spaces. - Gábor Bartók; Csaba Szepesvári; Sandra Zilles (Inf. Comput., 2010)

Non-trivial two-armed partial-monitoring games are bandits - András Antos; Gábor Bartók; Csaba Szepesvári (CoRR, 2011)

Minimax Regret of Finite Partial-Monitoring Games in Stochastic Environments. - Gábor Bartók; Dávid Pál; Csaba Szepesvári (COLT, 2011)

Partial Monitoring with Side Information. - Gábor Bartók; Csaba Szepesvári (ALT, 2012)

An adaptive algorithm for finite stochastic partial monitoring. - Gábor Bartók; Navid Zolghadr; Csaba Szepesvári (ICML, 2012)

An Efficient Algorithm for Learning with Semi-bandit Feedback. - Gergely Neu; Gábor Bartók (ALT, 2013)

A near-optimal algorithm for finite partial-monitoring games against adversarial opponents. - Gábor Bartók (COLT, 2013)

Online Learning with Costly Features and Labels. - Navid Zolghadr; Gábor Bartók; Russell Greiner; András György 001; Csaba Szepesvári (NIPS, 2013)

Toward a classification of finite partial-monitoring games. - András Antos; Gábor Bartók; Dávid Pál; Csaba Szepesvári (Theor. Comput. Sci., 2013)

Contextual Procurement in Online Crowdsourcing Markets. - Adish Singla; Ian Lienert; Gábor Bartók; Andreas Krause 001 (HCOMP, 2014)

Near-Optimally Teaching the Crowd to Classify. - Adish Singla; Ilija Bogunovic; Gábor Bartók; Amin Karbasi; Andreas Krause 001 (ICML, 2014)

Efficient Partial Monitoring with Prior Information. - Hastagiri P. Vanchinathan; Gábor Bartók; Andreas Krause 001 (NIPS, 2014)

Partial Monitoring - Classification, Regret Bounds, and Algorithms. - Gábor Bartók; Dean P. Foster; Dávid Pál; Alexander Rakhlin; Csaba Szepesvári (Math. Oper. Res., 2014)

Incentivizing Users for Balancing Bike Sharing Systems. - Adish Singla; Marco Santoni; Gábor Bartók; Pratik Mukerji; Moritz Meenen; Andreas Krause 001 (AAAI, 2015)

Importance Weighting Without Importance Weights: An Efficient Algorithm for Combinatorial Semi-Bandits. - Gergely Neu; Gábor Bartók (J. Mach. Learn. Res., 2016)

Fast Task-Aware Architecture Inference. - Efi Kokiopoulou; Anja Hauth; Luciano Sbaiz; Andrea Gesmundo; Gábor Bartók; Jesse Berent (CoRR, 2019)

Gumbel-Matrix Routing for Flexible Multi-task Learning. - Krzysztof Maziarz; Efi Kokiopoulou; Andrea Gesmundo; Luciano Sbaiz; Gábor Bartók; Jesse Berent (CoRR, 2019)

Ranking architectures using meta-learning. - Alina Dubatovka; Efi Kokiopoulou; Luciano Sbaiz; Andrea Gesmundo; Gábor Bartók; Jesse Berent (CoRR, 2019)

Task-Aware Performance Prediction for Efficient Architecture Search. - Efi Kokiopoulou; Anja Hauth; Luciano Sbaiz; Andrea Gesmundo; Gábor Bartók; Jesse Berent (ECAI, 2020)

SmartChoices: Augmenting Software with Learned Implementations. - Daniel Golovin; Gábor Bartók; Eric Chen; Emily Donahue; Tzu-Kuo Huang; Efi Kokiopoulou; Ruoyan Qin; Nikhil Sarda; Justin Sybrandt; Vincent Tjeng (CoRR, 2023)