Lugosi, Gábor

42 publications

JMLR 2023 Bandit Problems with Fidelity Rewards Gábor Lugosi, Ciara Pike-Burke, Pierre-André Savalle

COLT 2022 Generalization Bounds via Convex Analysis Gabor Lugosi, Gergely Neu

JMLR 2021 Learning Partial Correlation Graphs and Graphical Models by Covariance Queries Gábor Lugosi, Jakub Truszkowski, Vasiliki Velona, Piotr Zwiernik

ALT 2019 Online Influence Maximization with Local Observations Gábor Lugosi, Gergely Neu, Julia Olkhovskaya

ICML 2017 Algorithmic Stability and Hypothesis Complexity Tongliang Liu, Gábor Lugosi, Gergely Neu, Dacheng Tao

COLT 2017 An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits Yevgeny Seldin, Gábor Lugosi

NeurIPS 2017 Boltzmann Exploration Done Right Nicolò Cesa-Bianchi, Claudio Gentile, Gabor Lugosi, Gergely Neu

JMLR 2015 Exceptional Rotations of Random Graphs: A VC Theory Louigi Addario-Berry, Shankar Bhamidi, Sébastien Bubeck, Luc Devroye, Gábor Lugosi, Roberto Imbuzeiro Oliveira

COLT 2014 Density-Preserving Quantization with Application to Graph Downsampling Morteza Alamgir, Gábor Lugosi, Ulrike von Luxburg

COLT 2013 Prediction by Random-Walk Perturbation Luc Devroye, Gábor Lugosi, Gergely Neu

NeurIPS 2012 Mirror Descent Meets Fixed Share (and Feels No Regret) Nicolò Cesa-bianchi, Pierre Gaillard, Gabor Lugosi, Gilles Stoltz

COLT 2011 Minimax Policies for Combinatorial Prediction Games Jean-Yves Audibert, Sébastien Bubeck, Gábor Lugosi

JMLR 2010 On-Line Sequential Bin Packing András György, Gábor Lugosi, György Ottucsàk

ALT 2009 Algorithmic Learning Theory, 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009. Proceedings Ricard Gavaldà, Gábor Lugosi, Thomas Zeugmann, Sandra Zilles

COLT 2009 Combinatorial Bandits Nicolò Cesa-Bianchi, Gábor Lugosi

COLT 2009 Online Multi-Task Learning with Hard Constraints Gábor Lugosi, Omiros Papaspiliopoulos, Gilles Stoltz

COLT 2008 Concentration Inequalities Gábor Lugosi

JMLR 2008 Consistency of Random Forests and Other Averaging Classifiers Gérard Biau, Luc Devroye, Gábor Lugosi

COLT 2008 On-Line Sequential Bin Packing András György, Gábor Lugosi, György Ottucsák

MLJ 2007 Introduction to the Special Issue on COLT 2006 Avrim Blum, Gábor Lugosi, Hans Ulrich Simon

COLT 2007 Strategies for Prediction Under Imperfect Monitoring Gábor Lugosi, Shie Mannor, Gilles Stoltz

JMLR 2007 The On-Line Shortest Path Problem Under Partial Monitoring András György, Tamás Linder, Gábor Lugosi, György Ottucsák

COLT 2006 Learning Theory, 19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006, Proceedings Gábor Lugosi, Hans Ulrich Simon

MLJ 2005 Internal Regret in On-Line Portfolio Selection Gilles Stoltz, Gábor Lugosi

COLT 2005 Ranking and Scoring Using Empirical Risk Minimization Stéphan Clémençon, Gábor Lugosi, Nicolas Vayatis

COLT 2005 Tracking the Best of Many Experts András György, Tamás Linder, Gábor Lugosi

COLT 2004 Minimizing Regret with Label Efficient Prediction Nicolò Cesa-Bianchi, Gábor Lugosi, Gilles Stoltz

COLT 2003 Internal Regret in On-Line Portfolio Selection Gilles Stoltz, Gábor Lugosi

JMLR 2003 On the Rate of Convergence of Regularized Boosting Classifiers Gilles Blanchard, Gábor Lugosi, Nicolas Vayatis

MLJ 2003 Potential-Based Algorithms in On-Line Prediction and Game Theory Nicolò Cesa-Bianchi, Gábor Lugosi

COLT 2002 A Consistent Strategy for Boosting Algorithms Gábor Lugosi, Nicolas Vayatis

JMLR 2002 Data-Dependent Margin-Based Generalization Bounds for Classification András Antos, Balázs Kégl, Tamás Linder, Gábor Lugosi

MLJ 2002 Model Selection and Error Estimation Peter L. Bartlett, Stéphane Boucheron, Gábor Lugosi

COLT 2001 Data-Dependent Margin-Based Generalization Bounds for Classification Balázs Kégl, Tamás Linder, Gábor Lugosi

COLT 2001 Potential-Based Algorithms in Online Prediction and Game Theory Nicolò Cesa-Bianchi, Gábor Lugosi

MLJ 2001 Worst-Case Bounds for the Logarithmic Loss of Predictors Nicolò Cesa-Bianchi, Gábor Lugosi

COLT 2000 Model Selection and Error Estimation Peter L. Bartlett, Stéphane Boucheron, Gábor Lugosi

COLT 1999 Minimax Regret Under Log Loss for General Classes of Experts Nicolò Cesa-Bianchi, Gábor Lugosi

COLT 1998 On Sequential Prediction of Individual Sequences Relative to a Set of Experts Nicolò Cesa-Bianchi, Gábor Lugosi

MLJ 1998 Strong Minimax Lower Bounds for Learning András Antos, Gábor Lugosi

COLT 1996 A Data-Dependent Skeleton Estimate for Learning Gábor Lugosi, Márta Pintér

COLT 1996 Strong Minimax Lower Bounds for Learning András Antos, Gábor Lugosi