Gábor Bartók

26 papers A* 5A 1B 5Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
SmartChoices: Augmenting Software with Learned Implementations.
CoRR
Daniel Golovin, Gábor Bartók, Eric Chen, Emily Donahue, Tzu-Kuo Huang, Efi Kokiopoulou, Ruoyan Qin, Nikhil Sarda, Justin Sybrandt, Vincent Tjeng
2020 A conf
Task-Aware Performance Prediction for Efficient Architecture Search.
ECAI
Efi Kokiopoulou, Anja Hauth, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent
2019 J jnl
Fast Task-Aware Architecture Inference.
CoRR
Efi Kokiopoulou, Anja Hauth, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent
2019 J jnl
Gumbel-Matrix Routing for Flexible Multi-task Learning.
CoRR
Krzysztof Maziarz, Efi Kokiopoulou, Andrea Gesmundo, Luciano Sbaiz, Gábor Bartók, Jesse Berent
2019 J jnl
Ranking architectures using meta-learning.
CoRR
Alina Dubatovka, Efi Kokiopoulou, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent
2016 J jnl
Importance Weighting Without Importance Weights: An Efficient Algorithm for Combinatorial Semi-Bandits.
J. Mach. Learn. Res.
Gergely Neu, Gábor Bartók
2015 J jnl
Importance weighting without importance weights: An efficient algorithm for combinatorial semi-bandits.
CoRR
Gergely Neu, Gábor Bartók
2015 A* conf
Incentivizing Users for Balancing Bike Sharing Systems.
AAAI
Adish Singla, Marco Santoni, Gábor Bartók, Pratik Mukerji, Moritz Meenen, Andreas Krause
2014 B conf
Contextual Procurement in Online Crowdsourcing Markets.
HCOMP
Adish Singla, Ian Lienert, Gábor Bartók, Andreas Krause
2014 — conf
Efficient Partial Monitoring with Prior Information.
NIPS
Hastagiri P. Vanchinathan, Gábor Bartók, Andreas Krause
2014 A* conf
Near-Optimally Teaching the Crowd to Classify.
ICML
Adish Singla, Ilija Bogunovic, Gábor Bartók, Amin Karbasi, Andreas Krause
2014 J jnl
Near-Optimally Teaching the Crowd to Classify.
CoRR
Adish Singla, Ilija Bogunovic, Gábor Bartók, Amin Karbasi, Andreas Krause
2014 J jnl
Partial Monitoring - Classification, Regret Bounds, and Algorithms.
Math. Oper. Res.
Gábor Bartók, Dean P. Foster, Dávid Pál, Alexander Rakhlin, Csaba Szepesvári
2013 A* conf
A near-optimal algorithm for finite partial-monitoring games against adversarial opponents.
COLT
Gábor Bartók
2013 B conf
An Efficient Algorithm for Learning with Semi-bandit Feedback.
ALT
Gergely Neu, Gábor Bartók
2013 J jnl
An efficient algorithm for learning with semi-bandit feedback
CoRR
Gergely Neu, Gábor Bartók
2013 — conf
Online Learning with Costly Features and Labels.
NIPS
Navid Zolghadr, Gábor Bartók, Russell Greiner, András György, Csaba Szepesvári
2013 J jnl
Toward a classification of finite partial-monitoring games.
Theor. Comput. Sci.
András Antos, Gábor Bartók, Dávid Pál, Csaba Szepesvári
2012 A* conf
An adaptive algorithm for finite stochastic partial monitoring.
ICML
Gábor Bartók, Navid Zolghadr, Csaba Szepesvári
2012 B conf
Partial Monitoring with Side Information.
ALT
Gábor Bartók, Csaba Szepesvári
2011 A* conf
Minimax Regret of Finite Partial-Monitoring Games in Stochastic Environments.
COLT
Gábor Bartók, Dávid Pál, Csaba Szepesvári
2011 J jnl
Non-trivial two-armed partial-monitoring games are bandits
CoRR
András Antos, Gábor Bartók, Csaba Szepesvári
2011 J jnl
Toward a Classification of Finite Partial-Monitoring Games
CoRR
András Antos, Gábor Bartók, Dávid Pál, Csaba Szepesvári
2010 J jnl
Models of active learning in group-structured state spaces.
Inf. Comput.
Gábor Bartók, Csaba Szepesvári, Sandra Zilles
2010 B conf
Toward a Classification of Finite Partial-Monitoring Games.
ALT
Gábor Bartók, Dávid Pál, Csaba Szepesvári
2008 B conf
Active Learning of Group-Structured Environments.
ALT
Gábor Bartók, Csaba Szepesvári, Sandra Zilles