The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

Gábor Lugosi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Stéphane Boucheron, Gábor Lugosi, Olivier Bousquet
    Concentration Inequalities. [Citation Graph (0, 0)][DBLP]
    Advanced Lectures on Machine Learning, 2003, pp:208-240 [Conf]
  2. Olivier Bousquet, Stéphane Boucheron, Gábor Lugosi
    Introduction to Statistical Learning Theory. [Citation Graph (0, 0)][DBLP]
    Advanced Lectures on Machine Learning, 2003, pp:169-207 [Conf]
  3. András Antos, Gábor Lugosi
    Strong Minimax Lower Bounds for Learning. [Citation Graph (0, 0)][DBLP]
    COLT, 1996, pp:303-309 [Conf]
  4. Peter L. Bartlett, Stéphane Boucheron, Gábor Lugosi
    Model Selection and Error Estimation. [Citation Graph (0, 0)][DBLP]
    COLT, 2000, pp:286-297 [Conf]
  5. Nicolò Cesa-Bianchi, Gábor Lugosi
    Potential-Based Algorithms in Online Prediction and Game Theory. [Citation Graph (0, 0)][DBLP]
    COLT/EuroCOLT, 2001, pp:48-64 [Conf]
  6. Nicolò Cesa-Bianchi, Gábor Lugosi
    On Sequential Prediction of Individual Sequences Relative to a Set of Experts. [Citation Graph (0, 0)][DBLP]
    COLT, 1998, pp:1-11 [Conf]
  7. Nicolò Cesa-Bianchi, Gábor Lugosi
    Minimax Regret Under log Loss for General Classes of Experts. [Citation Graph (0, 0)][DBLP]
    COLT, 1999, pp:12-18 [Conf]
  8. Nicolò Cesa-Bianchi, Gábor Lugosi, Gilles Stoltz
    Minimizing Regret with Label Efficient Prediction. [Citation Graph (0, 0)][DBLP]
    COLT, 2004, pp:77-92 [Conf]
  9. Stéphan Clémençon, Gábor Lugosi, Nicolas Vayatis
    Ranking and Scoring Using Empirical Risk Minimization. [Citation Graph (0, 0)][DBLP]
    COLT, 2005, pp:1-15 [Conf]
  10. András György, Tamás Linder, Gábor Lugosi
    Tracking the Best of Many Experts. [Citation Graph (0, 0)][DBLP]
    COLT, 2005, pp:204-216 [Conf]
  11. Balázs Kégl, Tamás Linder, Gábor Lugosi
    Data-Dependent Margin-Based Generalization Bounds for Classification. [Citation Graph (0, 0)][DBLP]
    COLT/EuroCOLT, 2001, pp:368-384 [Conf]
  12. Gábor Lugosi, Márta Pintér
    A Data-Dependent Skeleton Estimate for Learning. [Citation Graph (0, 0)][DBLP]
    COLT, 1996, pp:51-56 [Conf]
  13. Gábor Lugosi, Nicolas Vayatis
    A Consistent Strategy for Boosting Algorithms. [Citation Graph (0, 0)][DBLP]
    COLT, 2002, pp:303-318 [Conf]
  14. Gilles Stoltz, Gábor Lugosi
    Internal Regret in On-Line Portfolio Selection. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:403-417 [Conf]
  15. András György, Tamás Linder, Gábor Lugosi
    A "Follow the Perturbed Leader"-type Algorithm for Zero-Delay Quantization of Individual Sequence. [Citation Graph (0, 0)][DBLP]
    Data Compression Conference, 2004, pp:342-351 [Conf]
  16. Tamás Linder, Gábor Lugosi, Kenneth Zeger
    Universality and Rates of Convergence in Lossy Source Coding. [Citation Graph (0, 0)][DBLP]
    Data Compression Conference, 1993, pp:89-97 [Conf]
  17. Tamás Linder, Gábor Lugosi, Kenneth Zeger
    Designing Vector Quantizers in the Presence of Source Noise or Channel Noise. [Citation Graph (0, 0)][DBLP]
    Data Compression Conference, 1996, pp:33-42 [Conf]
  18. Peter L. Bartlett, Tamás Linder, Gábor Lugosi
    A Minimax Lower Bound for Empirical Quantizer Design. [Citation Graph (0, 0)][DBLP]
    EuroCOLT, 1997, pp:210-222 [Conf]
  19. Márta Horváth, Gábor Lugosi
    Scale-sensitive Dimensions and Skeleton Estimates for Classification. [Citation Graph (0, 0)][DBLP]
    Discrete Applied Mathematics, 1998, v:86, n:1, pp:37-61 [Journal]
  20. András Antos, Balázs Kégl, Tamás Linder, Gábor Lugosi
    Data-dependent margin-based generalization bounds for classification. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:73-98 [Journal]
  21. Gilles Blanchard, Gábor Lugosi, Nicolas Vayatis
    On the Rate of Convergence of Regularized Boosting Classifiers. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:861-894 [Journal]
  22. András Antos, Gábor Lugosi
    Strong Minimax Lower Bounds for Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1998, v:30, n:1, pp:31-56 [Journal]
  23. Peter L. Bartlett, Stéphane Boucheron, Gábor Lugosi
    Model Selection and Error Estimation. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:48, n:1-3, pp:85-113 [Journal]
  24. Nicolò Cesa-Bianchi, Gábor Lugosi
    Worst-Case Bounds for the Logarithmic Loss of Predictors. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2001, v:43, n:3, pp:247-264 [Journal]
  25. Nicolò Cesa-Bianchi, Gábor Lugosi
    Potential-Based Algorithms in On-Line Prediction and Game Theory. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2003, v:51, n:3, pp:239-261 [Journal]
  26. Gilles Stoltz, Gábor Lugosi
    Internal Regret in On-Line Portfolio Selection. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:59, n:1-2, pp:125-159 [Journal]
  27. András Faragó, Tamás Linder, Gábor Lugosi
    Fast Nearest-Neighbor Search in Dissimilarity Spaces. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1993, v:15, n:9, pp:957-962 [Journal]
  28. Luc Devroye, Gábor Lugosi
    Lower bounds in pattern recognition and learning. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1995, v:28, n:7, pp:1011-1018 [Journal]
  29. Gábor Lugosi
    Learning with an unreliable teacher. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1992, v:25, n:1, pp:79-87 [Journal]
  30. Stéphane Boucheron, Gábor Lugosi, Pascal Massart
    A sharp concentration inequality with applications. [Citation Graph (0, 0)][DBLP]
    Random Struct. Algorithms, 2000, v:16, n:3, pp:277-292 [Journal]
  31. Peter L. Bartlett, Tamás Linder, Gábor Lugosi
    The Minimax Distortion Redundancy in Empirical Quantizer Design. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1998, v:44, n:5, pp:1802-1813 [Journal]
  32. Nicolò Cesa-Bianchi, Gábor Lugosi, Gilles Stoltz
    Minimizing regret with label efficient prediction. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2005, v:51, n:6, pp:2152-2162 [Journal]
  33. Luc Devroye, László Györfi, Gábor Lugosi
    A note on robust hypothesis testing. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2002, v:48, n:7, pp:2111-2114 [Journal]
  34. András Faragó, Gábor Lugosi
    Strong universal consistency of neural network classifiers. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1993, v:39, n:4, pp:1146-1151 [Journal]
  35. László Györfi, Gábor Lugosi, Gusztáv Morvai
    A simple randomized algorithm for sequential prediction of ergodic time series. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1999, v:45, n:7, pp:2642-2650 [Journal]
  36. Sanjeev R. Kulkarni, Gábor Lugosi, Santosh S. Venkatesh
    Learning Pattern Classification - A Survey. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1998, v:44, n:6, pp:2178-2206 [Journal]
  37. Tamás Linder, Gábor Lugosi
    A zero-delay sequential scheme for lossy coding of individual sequences. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2001, v:47, n:6, pp:2533-2538 [Journal]
  38. Tamás Linder, Gábor Lugosi, Kenneth Zeger
    Rates of convergence in the source coding theorem, in empirical quantizer design, and in universal lossy source coding. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1994, v:40, n:6, pp:1728-1740 [Journal]
  39. Tamás Linder, Gábor Lugosi, Kenneth Zeger
    Fixed-rate universal lossy source coding and rates of convergence for memoryless sources. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1995, v:41, n:3, pp:665-676 [Journal]
  40. Tamás Linder, Gábor Lugosi, Kenneth Zeger
    Empirical quantizer design in the presence of source noise or channel noise. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1997, v:43, n:2, pp:612-623 [Journal]
  41. Gábor Lugosi, Miroslaw Pawlak
    On the posterior-probability estimate of the error rate of nonparametric classification rules. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1994, v:40, n:2, pp:475-481 [Journal]
  42. Gábor Lugosi, Kenneth Zeger
    Nonparametric estimation via empirical risk minimization. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1995, v:41, n:3, pp:677-687 [Journal]
  43. Gábor Lugosi, Kenneth Zeger
    Concept learning using complexity regularization. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1996, v:42, n:1, pp:48-54 [Journal]
  44. Gábor Lugosi, Shie Mannor, Gilles Stoltz
    Strategies for Prediction Under Imperfect Monitoring. [Citation Graph (0, 0)][DBLP]
    COLT, 2007, pp:248-262 [Conf]
  45. Luc Devroye, Gábor Lugosi, GaHyun Park, Wojciech Szpankowski
    Multiple choice tries and distributed hash tables. [Citation Graph (0, 0)][DBLP]
    SODA, 2007, pp:891-899 [Conf]
  46. Gábor Lugosi, Shie Mannor, Gilles Stoltz
    Strategies for prediction under imperfect monitoring [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  47. András György, Tamás Linder, Gábor Lugosi, György Ottucsák
    The on-line shortest path problem under partial monitoring [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]

  48. Sequential prediction under incomplete feedback. [Citation Graph (, )][DBLP]


  49. Concentration Inequalities. [Citation Graph (, )][DBLP]


  50. On-line Sequential Bin Packing. [Citation Graph (, )][DBLP]


  51. From Ranking to Classification: A Statistical View. [Citation Graph (, )][DBLP]


  52. Online Multi-task Learning with Hard Constraints [Citation Graph (, )][DBLP]


  53. The Longest Minimum-Weight Path in a Complete Graph. [Citation Graph (, )][DBLP]


Search in 0.216secs, Finished in 0.218secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002