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Nicolò Cesa-Bianchi Vis

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*2009
70EENicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale: Learning Unknown Graphs. ALT 2009: 110-125
69EENicolò Cesa-Bianchi, Claudio Gentile, Francesco Orabona: Robust bounds for classification via selective sampling. ICML 2009: 16
2008
68EEGiovanni Cavallanti, Nicolò Cesa-Bianchi, Claudio Gentile: Linear Algorithms for Online Multitask Classification. COLT 2008: 251-262
67EEGiovanni Cavallanti, Nicolò Cesa-Bianchi, Claudio Gentile: Linear Classification and Selective Sampling Under Low Noise Conditions. NIPS 2008: 249-256
66EEGiorgio Valentini, Nicolò Cesa-Bianchi: HCGene: a software tool to support the hierarchical classification of genes. Bioinformatics 24(5): 729-731 (2008)
65EENicolò Cesa-Bianchi, Claudio Gentile: Improved Risk Tail Bounds for On-Line Algorithms. IEEE Transactions on Information Theory 54(1): 386-390 (2008)
2007
64EENicolò Cesa-Bianchi, Yishay Mansour, Gilles Stoltz: Improved second-order bounds for prediction with expert advice. Machine Learning 66(2-3): 321-352 (2007)
63EEGiovanni Cavallanti, Nicolò Cesa-Bianchi, Claudio Gentile: Tracking the best hyperplane with a simple budget Perceptron. Machine Learning 69(2-3): 143-167 (2007)
62EENicolò Cesa-Bianchi: Applications of regularized least squares to pattern classification. Theor. Comput. Sci. 382(3): 221-231 (2007)
2006
61EENicolò Cesa-Bianchi, Claudio Gentile: Tracking the Best Hyperplane with a Simple Budget Perceptron. COLT 2006: 483-498
60EENicolò Cesa-Bianchi, Claudio Gentile, Luca Zaniboni: Hierarchical classification: combining Bayes with SVM. ICML 2006: 177-184
59EENicolò Cesa-Bianchi, Claudio Gentile, Luca Zaniboni: Worst-Case Analysis of Selective Sampling for Linear Classification. Journal of Machine Learning Research 7: 1205-1230 (2006)
58EENicolò Cesa-Bianchi, Claudio Gentile, Luca Zaniboni: Incremental Algorithms for Hierarchical Classification. Journal of Machine Learning Research 7: 31-54 (2006)
57EENicolò Cesa-Bianchi, Gábor Lugosi, Gilles Stoltz: Regret Minimization Under Partial Monitoring. Math. Oper. Res. 31(3): 562-580 (2006)
56EENicolò Cesa-Bianchi, Rüdiger Reischuk, Thomas Zeugmann: Foreword. Theor. Comput. Sci. 350(1): 1-2 (2006)
2005
55EENicolò Cesa-Bianchi, Yishay Mansour, Gilles Stoltz: Improved Second-Order Bounds for Prediction with Expert Advice. COLT 2005: 217-232
54EEClaudio Bettini, Nicolò Cesa-Bianchi, Daniele Riboni: A Distributed Architecture for Management and Retrieval of Extended Points of Interest. ICDCS Workshops 2005: 266-272
53EENicolò Cesa-Bianchi, Claudio Gentile: Improved risk tail bounds for on-line algorithms. NIPS 2005
52EENicolò Cesa-Bianchi, Gábor Lugosi, Gilles Stoltz: Minimizing regret with label efficient prediction. IEEE Transactions on Information Theory 51(6): 2152-2162 (2005)
51EENicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile: A Second-Order Perceptron Algorithm. SIAM J. Comput. 34(3): 640-668 (2005)
2004
50EENicolò Cesa-Bianchi: Applications of Regularized Least Squares to Classification Problems. ALT 2004: 14-18
49EENicolò Cesa-Bianchi, Gábor Lugosi, Gilles Stoltz: Minimizing Regret with Label Efficient Prediction. COLT 2004: 77-92
48EENicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile: Regret Bounds for Hierarchical Classification with Linear-Threshold Functions. COLT 2004: 93-108
47 Alessandra Agostini, Claudio Bettini, Nicolò Cesa-Bianchi, Dario Maggiorini, Daniele Riboni, Michele Ruberl, Cristiano Sala, Davide Vitali: Towards Highly Adaptive Services for Mobile Computing. MOBIS 2004: 121-134
46EENicolò Cesa-Bianchi, Claudio Gentile, Andrea Tironi, Luca Zaniboni: Incremental Algorithms for Hierarchical Classification. NIPS 2004
45EENicolò Cesa-Bianchi, Claudio Gentile, Luca Zaniboni: Worst-Case Analysis of Selective Sampling for Linear-Threshold Algorithms. NIPS 2004
44 Nicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile: On the Generalization Ability of On-Line Learning Algorithms. IEEE Transactions on Information Theory 50(9): 2050-2057 (2004)
2003
43EENicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile: Learning Probabilistic Linear-Threshold Classifiers via Selective Sampling. COLT 2003: 373-387
42EENicolò Cesa-Bianchi, Gábor Lugosi: Potential-Based Algorithms in On-Line Prediction and Game Theory. Machine Learning 51(3): 239-261 (2003)
2002
41 Nicolò Cesa-Bianchi, Masayuki Numao, Rüdiger Reischuk: Algorithmic Learning Theory, 13th International Conference, ALT 2002, Lübeck, Germany, November 24-26, 2002, Proceedings Springer 2002
40EENicolò Cesa-Bianchi, Masayuki Numao, Rüdiger Reischuk: Editors' Introduction. ALT 2002: 1-6
39EENicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile: A Second-Order Perceptron Algorithm. COLT 2002: 121-137
38EENicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile: Margin-Based Algorithms for Information Filtering. NIPS 2002: 470-477
37EENicola Cancedda, Cyril Goutte, Jean-Michel Renders, Nicolò Cesa-Bianchi, Alex Conconi, Yaoyong Li, John Shawe-Taylor, Alexei Vinokourov, Thore Graepel, Claudio Gentile: Kernel Methods for Document Filtering. TREC 2002
36EEPeter Auer, Nicolò Cesa-Bianchi, Claudio Gentile: Adaptive and Self-Confident On-Line Learning Algorithms. J. Comput. Syst. Sci. 64(1): 48-75 (2002)
35 Peter Auer, Nicolò Cesa-Bianchi, Paul Fischer: Finite-time Analysis of the Multiarmed Bandit Problem. Machine Learning 47(2-3): 235-256 (2002)
34EEPeter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire: The Nonstochastic Multiarmed Bandit Problem. SIAM J. Comput. 32(1): 48-77 (2002)
2001
33EENicolò Cesa-Bianchi, Gábor Lugosi: Potential-Based Algorithms in Online Prediction and Game Theory. COLT/EuroCOLT 2001: 48-64
32EENicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile: On the Generalization Ability of On-Line Learning Algorithms. NIPS 2001: 359-366
31 Nicolò Cesa-Bianchi, Gábor Lugosi: Worst-Case Bounds for the Logarithmic Loss of Predictors. Machine Learning 43(3): 247-264 (2001)
2000
30 Nicolò Cesa-Bianchi, Sally A. Goldman: Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28 - July 1, 2000, Palo Alto, California Morgan Kaufmann 2000
29EEPeter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire: Gambling in a rigged casino: The adversarial multi-armed bandit problem Electronic Colloquium on Computational Complexity (ECCC) 7(68): (2000)
28EEPeter Auer, Nicolò Cesa-Bianchi: On-line Learning with Malicious Noise and the Closure Algorithm Electronic Colloquium on Computational Complexity (ECCC) 7(71): (2000)
1999
27EENicolò Cesa-Bianchi, Gábor Lugosi: Minimax Regret Under log Loss for General Classes of Experts. COLT 1999: 12-18
26EENicolò Cesa-Bianchi, Eli Dichterman, Paul Fischer, Eli Shamir, Hans-Ulrich Simon: Sample-Efficient Strategies for Learning in the Presence of Noise. J. ACM 46(5): 684-719 (1999)
25 Nicolò Cesa-Bianchi: Analysis of Two Gradient-Based Algorithms for On-Line Regression. J. Comput. Syst. Sci. 59(3): 392-411 (1999)
24 Jonathan Baxter, Nicolò Cesa-Bianchi: Guest Editors' Introduction. Machine Learning 37(3): 239-240 (1999)
1998
23EENicolò Cesa-Bianchi, Gábor Lugosi: On Sequential Prediction of Individual Sequences Relative to a Set of Experts. COLT 1998: 1-11
22 Nicolò Cesa-Bianchi, Paul Fischer: Finite-Time Regret Bounds for the Multiarmed Bandit Problem. ICML 1998: 100-108
21 Nicolò Cesa-Bianchi, David P. Helmbold, Sandra Panizza: On Bayes Methods for On-Line Boolean Prediction. Algorithmica 22(1/2): 112-137 (1998)
20 Peter Auer, Nicolò Cesa-Bianchi: On-Line Learning with Malicious Noise and the Closure Algorithm. Ann. Math. Artif. Intell. 23(1-2): 83-99 (1998)
19EENicolò Cesa-Bianchi, David Haussler: A Graph-theoretic Generalization of the Sauer-Shelah Lemma. Discrete Applied Mathematics 86(1): 27-35 (1998)
1997
18EENicolò Cesa-Bianchi: Analysis of Two Gradient-based Algorithms for On-line Regression. COLT 1997: 163-170
17 Nicolò Cesa-Bianchi, Paul Fischer, Eli Shamir, Hans-Ulrich Simon: Randomized Hypotheses and Minimum Disagreement Hypotheses for Learning with Noise. EuroCOLT 1997: 119-133
16EENicolò Cesa-Bianchi, Yoav Freund, David Haussler, David P. Helmbold, Robert E. Schapire, Manfred K. Warmuth: How to use expert advice. J. ACM 44(3): 427-485 (1997)
15EENoga Alon, Shai Ben-David, Nicolò Cesa-Bianchi, David Haussler: Scale-sensitive dimensions, uniform convergence, and learnability. J. ACM 44(4): 615-631 (1997)
1996
14EENicolò Cesa-Bianchi, David P. Helmbold, Sandra Panizza: On Bayes Methods for On-Line Boolean Prediction. COLT 1996: 314-324
13 Peter Auer, Pasquale Caianiello, Nicolò Cesa-Bianchi: Tight Bounds on the Cumulative Profit of Distributed Voters (Abstract). PODC 1996: 312
12EENicolò Cesa-Bianchi, Eli Dichterman, Paul Fischer, Hans-Ulrich Simon: Noise-Tolerant Learning Near the Information-Theoretic Bound. STOC 1996: 141-150
11 Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, Manfred K. Warmuth: On-line Prediction and Conversion Strategies. Machine Learning 25(1): 71-110 (1996)
1995
10 Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire: Gambling in a Rigged Casino: The Adversarial Multi-Arm Bandit Problem. FOCS 1995: 322-331
9EEAlberto Bertoni, Nicolò Cesa-Bianchi, Guido Fiorino: Efficient Learning with Equivalence Queries of Conjunctions of Modulo Functions. Inf. Process. Lett. 56(1): 15-17 (1995)
8 Shai Ben-David, Nicolò Cesa-Bianchi, David Haussler, Philip M. Long: Characterizations of Learnability for Classes of {0, ..., n}-Valued Functions. J. Comput. Syst. Sci. 50(1): 74-86 (1995)
1994
7 Peter Auer, Nicolò Cesa-Bianchi: On-line Learning with Malicious Noise and the Closure Algorithm. AII/ALT 1994: 229-247
6 Nicolò Cesa-Bianchi, Anders Krogh, Manfred K. Warmuth: Bounds on approximate steepest descent for likelihood maximization in exponential families. IEEE Transactions on Information Theory 40(4): 1215- (1994)
1993
5EENicolò Cesa-Bianchi, Philip M. Long, Manfred K. Warmuth: Worst-Case Quadratic Loss Bounds for a Generalization of the Widrow-Hoff Rule. COLT 1993: 429-438
4 Noga Alon, Shai Ben-David, Nicolò Cesa-Bianchi, David Haussler: Scale-sensitive Dimensions, Uniform Convergence, and Learnability FOCS 1993: 292-301
3EENicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, David Haussler, Robert E. Schapire, Manfred K. Warmuth: How to use expert advice. STOC 1993: 382-391
1992
2EEShai Ben-David, Nicolò Cesa-Bianchi, Philip M. Long: Characterizations of Learnability for Classes of {O, ..., n}-Valued Functions. COLT 1992: 333-340
1990
1 Nicolò Cesa-Bianchi: Learning the Distribution in the Extended PAC Model. ALT 1990: 236-246

Coauthor Index

1Alessandra Agostini [47]
2Noga Alon [4] [15]
3Peter Auer [7] [10] [13] [20] [28] [29] [34] [35] [36]
4Jonathan Baxter [24]
5Shai Ben-David [2] [4] [8] [15]
6Alberto Bertoni [9]
7Claudio Bettini [47] [54]
8Pasquale Caianiello [13]
9Nicola Cancedda [37]
10Giovanni Cavallanti [63] [67] [68]
11Alex Conconi [32] [37] [38] [39] [43] [44] [48] [51]
12Eli Dichterman [12] [26]
13Guido Fiorino [9]
14Paul Fischer [12] [17] [22] [26] [35]
15Yoav Freund [3] [10] [11] [16] [29] [34]
16Claudio Gentile [32] [36] [37] [38] [39] [43] [44] [45] [46] [48] [51] [53] [58] [59] [60] [61] [63] [65] [67] [68] [69] [70]
17Sally A. Goldman [30]
18Cyril Goutte [37]
19Thore Graepel [37]
20David Haussler [3] [4] [8] [15] [16] [19]
21David P. Helmbold [3] [11] [14] [16] [21]
22Anders Krogh [6]
23Yaoyong Li [37]
24Philip M. Long [2] [5] [8]
25Gábor Lugosi [23] [27] [31] [33] [42] [49] [52] [57]
26Dario Maggiorini [47]
27Yishay Mansour [55] [64]
28Masayuki Numao [40] [41]
29Francesco Orabona [69]
30Sandra Panizza [14] [21]
31Rüdiger Reischuk [40] [41] [56]
32Jean-Michel Renders [37]
33Daniele Riboni [47] [54]
34Michele Ruberl [47]
35Cristiano Sala [47]
36Robert E. Schapire [3] [10] [16] [29] [34]
37Eli Shamir [17] [26]
38John Shawe-Taylor [37]
39Hans-Ulrich Simon [12] [17] [26]
40Gilles Stoltz [49] [52] [55] [57] [64]
41Andrea Tironi [46]
42Giorgio Valentini [66]
43Alexei Vinokourov [37]
44Fabio Vitale [70]
45Davide Vitali [47]
46Manfred K. Warmuth [3] [5] [6] [11] [16]
47Luca Zaniboni [45] [46] [58] [59] [60]
48Thomas Zeugmann [56]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)