Nicolò Cesa-Bianchi

	2012
103		Sébastien Bubeck, Nicolò Cesa-Bianchi, Sham M. Kakade: Towards minimax policies for online linear optimization with bandit feedback CoRR abs/1202.3079: (2012)
102		Nicolò Cesa-Bianchi, Pierre Gaillard, Gábor Lugosi, Gilles Stoltz: A new look at shifting regret CoRR abs/1202.3323: (2012)
101		Sébastien Bubeck, Nicolò Cesa-Bianchi: Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems CoRR abs/1204.5721: (2012)
100		Francesco Orabona, Nicolò Cesa-Bianchi, Claudio Gentile: Beyond Logarithmic Bounds in Online Learning. Journal of Machine Learning Research - Proceedings Track 22: 823-831 (2012)
99		Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, François Laviolette, John Shawe-Taylor: PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits. Journal of Machine Learning Research - Proceedings Track 26: 98-111 (2012)
	2011
98		Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, Ohad Shamir: Quantity Makes Quality: Learning with Partial Views. AAAI 2011
97		Nicolò Cesa-Bianchi: The Game-Theoretic Approach to Machine Learning and Adaptation. ICAIS 2011: 1
96		Francesco Orabona, Nicolò Cesa-Bianchi: Better Algorithms for Selective Sampling. ICML 2011: 433-440
95		Nicolò Cesa-Bianchi: Ensembles and Multiple Classifiers: A Game-Theoretic View. MCS 2011: 2-5
94		Fabio Vitale, Nicolò Cesa-Bianchi, Claudio Gentile, Giovanni Zappella: See the Tree Through the Lines: The Shazoo Algorithm. NIPS 2011: 1584-1592
93		Nicolò Cesa-Bianchi, Ohad Shamir: Efficient Online Learning via Randomized Rounding. NIPS 2011: 343-351
92		Yevgeny Seldin, Nicolò Cesa-Bianchi, François Laviolette, Peter Auer, John Shawe-Taylor, Jan Peters: PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off CoRR abs/1105.4585: (2011)
91		Nicolò Cesa-Bianchi, Ohad Shamir: Efficient Online Learning via Randomized Rounding CoRR abs/1106.2429: (2011)
90		Nicolò Cesa-Bianchi, Sham Kakade: An Optimal Algorithm for Linear Bandits CoRR abs/1110.4322: (2011)
89		Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, François Laviolette, John Shawe-Taylor: PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits CoRR abs/1110.6755: (2011)
88		Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer: PAC-Bayesian Inequalities for Martingales CoRR abs/1110.6886: (2011)
87		Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, Ohad Shamir: Online Learning of Noisy Data. IEEE Transactions on Information Theory 57(12): 7907-7931 (2011)
86		Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, Ohad Shamir: Efficient Learning with Partially Observed Attributes. Journal of Machine Learning Research 12: 2857-2878 (2011)
85		Giovanni Cavallanti, Nicolò Cesa-Bianchi, Claudio Gentile: Learning noisy linear classifiers via adaptive and selective sampling. Machine Learning 83(1): 71-102 (2011)
84		Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale: Predicting the labels of an unknown graph via adaptive exploration. Theor. Comput. Sci. 412(19): 1791-1804 (2011)
	2010
83		Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, Ohad Shamir: Online Learning of Noisy Data with Kernels. COLT 2010: 218-230
82		Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella: Active Learning on Trees and Graphs. COLT 2010: 320-332
81		Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella: Random Spanning Trees and the Prediction of Weighted Graphs. ICML 2010: 175-182
80		Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, Ohad Shamir: Efficient Learning with Partially Observed Attributes. ICML 2010: 183-190
79		Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, Ohad Shamir: Efficient Learning with Partially Observed Attributes CoRR abs/1004.4421: (2010)
78		Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, Ohad Shamir: Online Learning of Noisy Data with Kernels CoRR abs/1005.2296: (2010)
77		Giovanni Cavallanti, Nicolò Cesa-Bianchi, Claudio Gentile: Linear Algorithms for Online Multitask Classification. Journal of Machine Learning Research 11: 2901-2934 (2010)
76		Nicolò Cesa-Bianchi, Giorgio Valentini: Hierarchical Cost-Sensitive Algorithms for Genome-Wide Gene Function Prediction. Journal of Machine Learning Research - Proceedings Track 8: 14-29 (2010)
75		Nicolò Cesa-Bianchi, David R. Hardoon, Gayle Leen: Guest Editorial: Learning from multiple sources. Machine Learning 79(1-2): 1-3 (2010)
	2009
74		Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale: Learning Unknown Graphs. ALT 2009: 110-125
73		Nicolò Cesa-Bianchi, Gábor Lugosi: Combinatorial Bandits. COLT 2009
72		Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale: Fast and Optimal Prediction on a Labeled Tree. COLT 2009
71		Nicolò Cesa-Bianchi, Claudio Gentile, Francesco Orabona: Robust bounds for classification via selective sampling. ICML 2009: 16
	2008
70		Giovanni Cavallanti, Nicolò Cesa-Bianchi, Claudio Gentile: Linear Algorithms for Online Multitask Classification. COLT 2008: 251-262
69		Giovanni Cavallanti, Nicolò Cesa-Bianchi, Claudio Gentile: Linear Classification and Selective Sampling Under Low Noise Conditions. NIPS 2008: 249-256
68		Giorgio Valentini, Nicolò Cesa-Bianchi: HCGene: a software tool to support the hierarchical classification of genes. Bioinformatics 24(5): 729-731 (2008)
67		Nicolò Cesa-Bianchi, Claudio Gentile: Improved Risk Tail Bounds for On-Line Algorithms. IEEE Transactions on Information Theory 54(1): 386-390 (2008)
	2007
66		Nicolò Cesa-Bianchi, Yishay Mansour, Gilles Stoltz: Improved second-order bounds for prediction with expert advice. Machine Learning 66(2-3): 321-352 (2007)
65		Giovanni Cavallanti, Nicolò Cesa-Bianchi, Claudio Gentile: Tracking the best hyperplane with a simple budget Perceptron. Machine Learning 69(2-3): 143-167 (2007)
64		Nicolò Cesa-Bianchi: Applications of regularized least squares to pattern classification. Theor. Comput. Sci. 382(3): 221-231 (2007)
	2006
63		Nicolò Cesa-Bianchi, Gábor Lugosi: Prediction, learning, and games. Cambridge University Press 2006: I-XII, 1-394
62		Nicolò Cesa-Bianchi, Claudio Gentile: Tracking the Best Hyperplane with a Simple Budget Perceptron. COLT 2006: 483-498
61		Nicolò Cesa-Bianchi, Claudio Gentile, Luca Zaniboni: Hierarchical classification: combining Bayes with SVM. ICML 2006: 177-184
60		Peter Auer, Nicolò Cesa-Bianchi: A distributed voting scheme to maximize preferences. ITA 40(2): 389-403 (2006)
59		Nicolò Cesa-Bianchi, Claudio Gentile, Luca Zaniboni: Worst-Case Analysis of Selective Sampling for Linear Classification. Journal of Machine Learning Research 7: 1205-1230 (2006)
58		Nicolò Cesa-Bianchi, Claudio Gentile, Luca Zaniboni: Incremental Algorithms for Hierarchical Classification. Journal of Machine Learning Research 7: 31-54 (2006)
57		Nicolò Cesa-Bianchi, Gábor Lugosi, Gilles Stoltz: Regret Minimization Under Partial Monitoring. Math. Oper. Res. 31(3): 562-580 (2006)
56		Nicolò Cesa-Bianchi, Rüdiger Reischuk, Thomas Zeugmann: Foreword. Theor. Comput. Sci. 350(1): 1-2 (2006)
	2005
55		Nicolò Cesa-Bianchi, Yishay Mansour, Gilles Stoltz: Improved Second-Order Bounds for Prediction with Expert Advice. COLT 2005: 217-232
54		Claudio Bettini, Nicolò Cesa-Bianchi, Daniele Riboni: A Distributed Architecture for Management and Retrieval of Extended Points of Interest. ICDCS Workshops 2005: 266-272
53		Nicolò Cesa-Bianchi, Claudio Gentile: Improved risk tail bounds for on-line algorithms. NIPS 2005
52		Nicolò Cesa-Bianchi, Gábor Lugosi, Gilles Stoltz: Minimizing regret with label efficient prediction. IEEE Transactions on Information Theory 51(6): 2152-2162 (2005)
51		Nicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile: A Second-Order Perceptron Algorithm. SIAM J. Comput. 34(3): 640-668 (2005)
	2004
50		Nicolò Cesa-Bianchi: Applications of Regularized Least Squares to Classification Problems. ALT 2004: 14-18
49		Nicolò Cesa-Bianchi, Gábor Lugosi, Gilles Stoltz: Minimizing Regret with Label Efficient Prediction. COLT 2004: 77-92
48		Nicolò 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
46		Nicolò Cesa-Bianchi, Claudio Gentile, Andrea Tironi, Luca Zaniboni: Incremental Algorithms for Hierarchical Classification. NIPS 2004
45		Nicolò 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
43		Nicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile: Learning Probabilistic Linear-Threshold Classifiers via Selective Sampling. COLT 2003: 373-387
42		Nicolò 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
40		Nicolò Cesa-Bianchi, Masayuki Numao, Rüdiger Reischuk: Editors' Introduction. ALT 2002: 1-6
39		Nicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile: A Second-Order Perceptron Algorithm. COLT 2002: 121-137
38		Nicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile: Margin-Based Algorithms for Information Filtering. NIPS 2002: 470-477
37		Nicola 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
36		Peter 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)
34		Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire: The Nonstochastic Multiarmed Bandit Problem. SIAM J. Comput. 32(1): 48-77 (2002)
	2001
33		Nicolò Cesa-Bianchi, Gábor Lugosi: Potential-Based Algorithms in Online Prediction and Game Theory. COLT/EuroCOLT 2001: 48-64
32		Nicolò 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
29		Peter 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)
28		Peter Auer, Nicolò Cesa-Bianchi: On-line Learning with Malicious Noise and the Closure Algorithm Electronic Colloquium on Computational Complexity (ECCC) 7(71): (2000)
	1999
27		Nicolò Cesa-Bianchi, Gábor Lugosi: Minimax Regret Under log Loss for General Classes of Experts. COLT 1999: 12-18
26		Nicolò 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
23		Nicolò 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)
19		Nicolò Cesa-Bianchi, David Haussler: A Graph-theoretic Generalization of the Sauer-Shelah Lemma. Discrete Applied Mathematics 86(1): 27-35 (1998)
	1997
18		Nicolò 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
16		Nicolò 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)
15		Noga Alon, Shai Ben-David, Nicolò Cesa-Bianchi, David Haussler: Scale-sensitive dimensions, uniform convergence, and learnability. J. ACM 44(4): 615-631 (1997)
	1996
14		Nicolò 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
12		Nicolò 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
9		Alberto 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): 1215-1218 (1994)
	1993
5		Nicolò 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
3		Nicolò 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
2		Shai 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

1	Alessandra Agostini	[47]
2	Noga Alon	[4] [15]
3	Peter Auer	[7] [10] [13] [20] [28] [29] [34] [35] [36] [60] [88] [89] [92] [99]
4	Jonathan Baxter	[24]
5	Shai Ben-David	[2] [4] [8] [15]
6	Alberto Bertoni	[9]
7	Claudio Bettini	[47] [54]
8	Sébastien Bubeck	[101] [103]
9	Pasquale Caianiello	[13]
10	Nicola Cancedda	[37]
11	Giovanni Cavallanti	[65] [69] [70] [77] [85]
12	Alex Conconi	[32] [37] [38] [39] [43] [44] [48] [51]
13	Eli Dichterman	[12] [26]
14	Guido Fiorino	[9]
15	Paul Fischer	[12] [17] [22] [26] [35]
16	Yoav Freund	[3] [10] [11] [16] [29] [34]
17	Pierre Gaillard	[102]
18	Claudio Gentile	[32] [36] [37] [38] [39] [43] [44] [45] [46] [48] [51] [53] [58] [59] [61] [62] [65] [67] [69] [70] [71] [72] [74] [77] [81] [82] [84] [85] [94] [100]
19	Sally A. Goldman	[30]
20	Cyril Goutte	[37]
21	Thore Graepel	[37]
22	David R. Hardoon	[75]
23	David Haussler	[3] [4] [8] [15] [16] [19]
24	David P. Helmbold	[3] [11] [14] [16] [21]
25	Sham M. Kakade (Sham Kakade)	[90] [103]
26	Anders Krogh	[6]
27	François Laviolette	[88] [89] [92] [99]
28	Gayle Leen	[75]
29	Yaoyong Li	[37]
30	Philip M. Long	[2] [5] [8]
31	Gábor Lugosi	[23] [27] [31] [33] [42] [49] [52] [57] [63] [73] [102]
32	Dario Maggiorini	[47]
33	Yishay Mansour	[55] [66]
34	Masayuki Numao	[40] [41]
35	Francesco Orabona	[71] [96] [100]
36	Sandra Panizza	[14] [21]
37	Jan Peters	[92]
38	Rüdiger Reischuk	[40] [41] [56]
39	Jean-Michel Renders	[37]
40	Daniele Riboni	[47] [54]
41	Michele Ruberl	[47]
42	Cristiano Sala	[47]
43	Robert E. Schapire	[3] [10] [16] [29] [34]
44	Yevgeny Seldin	[88] [89] [92] [99]
45	Shai Shalev-Shwartz	[78] [79] [80] [83] [86] [87] [98]
46	Eli Shamir	[17] [26]
47	Ohad Shamir	[78] [79] [80] [83] [86] [87] [91] [93] [98]
48	John Shawe-Taylor	[37] [88] [89] [92] [99]
49	Hans Ulrich Simon (Hans-Ulrich Simon)	[12] [17] [26]
50	Gilles Stoltz	[49] [52] [55] [57] [66] [102]
51	Andrea Tironi	[46]
52	Giorgio Valentini	[68] [76]
53	Alexei Vinokourov	[37]
54	Fabio Vitale	[72] [74] [81] [82] [84] [94]
55	Davide Vitali	[47]
56	Manfred K. Warmuth	[3] [5] [6] [11] [16]
57	Luca Zaniboni	[45] [46] [58] [59] [61]
58	Giovanni Zappella	[81] [82] [94]
59	Thomas Zeugmann	[56]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page