| 2022 | COLT | Generalization Bounds via Convex Analysis. | Gbor Lugosi, Gergely Neu |
| 2019 | ALT | Online Influence Maximization with Local Observations. | Gbor Lugosi, Gergely Neu, Julia Olkhovskaya |
| 2017 | COLT | An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits. | Yevgeny Seldin, Gbor Lugosi |
| 2017 | ICML | Algorithmic Stability and Hypothesis Complexity. | Tongliang Liu, Gbor Lugosi, Gergely Neu, Dacheng Tao |
| 2014 | COLT | Density-preserving quantization with application to graph downsampling. | Morteza Alamgir, Gbor Lugosi, Ulrike von Luxburg |
| 2013 | COLT | Prediction by random-walk perturbation. | Luc Devroye, Gbor Lugosi, Gergely Neu |
| 2012 | ISIT | Efficient tracking of large classes of experts. | Andrs Gyrgy, Tams Linder, Gbor Lugosi |
| 2009 | COLT | Combinatorial Bandits. | Nicol Cesa-Bianchi, Gbor Lugosi |
| 2009 | COLT | Online Multi-task Learning with Hard Constraints. | Gbor Lugosi, Omiros Papaspiliopoulos, Gilles Stoltz |
| 2008 | COLT | On-line Sequential Bin Packing. | Andrs Gyrgy, Gbor Lugosi, Gyrgy Ottucsk |
| 2008 | COLT | Concentration Inequalities. | Gbor Lugosi |
| 2007 | COLT | Strategies for Prediction Under Imperfect Monitoring. | Gbor Lugosi, Shie Mannor, Gilles Stoltz |
| 2007 | SODA | Multiple choice tries and distributed hash tables. | Luc Devroye, Gbor Lugosi, GaHyun Park, Wojciech Szpankowski |
| 2006 | ITW | Regret Minimization Under Partial Monitoring. | Nicol Cesa-Bianchi, Gbor Lugosi, Gilles Stoltz |
| 2006 | ITW | The Shortest Path Problem in the Bandit Setting. | Andrs Gyrgy, Tams Linder, Gbor Lugosi |
| 2005 | COLT | Ranking and Scoring Using Empirical Risk Minimization. | Stphan Clmenon, Gbor Lugosi, Nicolas Vayatis |
| 2005 | COLT | Tracking the Best of Many Experts. | Andrs Gyrgy, Tams Linder, Gbor Lugosi |
| 2005 | ISIT | Tracking the best quantizer. | Andrs Gyrgy, Tams Linder, Gbor Lugosi |
| 2004 | COLT | Minimizing Regret with Label Efficient Prediction. | Nicol Cesa-Bianchi, Gbor Lugosi, Gilles Stoltz |
| 2004 | DCC | A "Follow the Perturbed Leader"-type Algorithm for Zero-Delay Quantization of Individual Sequence. | Andrs Gyrgy, Tams Linder, Gbor Lugosi |
| 2004 | ISIT | Efficient algorithms and minimax bounds for zero-delay lossy source coding. | Andrs Gyrgy, Tams Linder, Gbor Lugosi |
| 2003 | COLT | Internal Regret in On-Line Portfolio Selection. | Gilles Stoltz, Gbor Lugosi |
| 2002 | COLT | A Consistent Strategy for Boosting Algorithms. | Gbor Lugosi, Nicolas Vayatis |
| 2001 | COLT | Potential-Based Algorithms in Online Prediction and Game Theory. | Nicol Cesa-Bianchi, Gbor Lugosi |
| 2001 | COLT | Data-Dependent Margin-Based Generalization Bounds for Classification. | Balzs Kgl, Tams Linder, Gbor Lugosi |
| 2000 | COLT | Model Selection and Error Estimation. | Peter L. Bartlett, Stphane Boucheron, Gbor Lugosi |
| 1999 | COLT | Minimax Regret Under log Loss for General Classes of Experts. | Nicol Cesa-Bianchi, Gbor Lugosi |
| 1998 | COLT | On Sequential Prediction of Individual Sequences Relative to a Set of Experts. | Nicol Cesa-Bianchi, Gbor Lugosi |
| 1996 | COLT | Strong Minimax Lower Bounds for Learning. | Andrs Antos, Gbor Lugosi |
| 1996 | COLT | A Data-Dependent Skeleton Estimate for Learning. | Gbor Lugosi, Mrta Pintr |
| 1996 | DCC | Designing Vector Quantizers in the Presence of Source Noise or Channel Noise. | Tams Linder, Gbor Lugosi, Kenneth Zeger |
| 1994 | ICPR | Nonparametric classification using radial basis function nets and empirical risk minimization. | Adam Krzyzak, Tams Linder, Gbor Lugosi |
| 1993 | DCC | Universality and Rates of Convergence in Lossy Source Coding. | Tams Linder, Gbor Lugosi, Kenneth Zeger |