Peter Auer

	2012
79		Shiau Hong Lim, Peter Auer: Noisy Search with Comparative Feedback CoRR abs/1202.3741: (2012)
78		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
77		Peter Auer, Shiau Hong Lim, Chris Watkins: Models for Autonomously Motivated Exploration in Reinforcement Learning - (Extended Abstract). ALT 2011: 14-17
76		Alexandra Carpentier, Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos, Peter Auer: Upper-Confidence-Bound Algorithms for Active Learning in Multi-armed Bandits. ALT 2011: 189-203
75		Peter Auer, Shiau Hong Lim, Chris Watkins: Models for Autonomously Motivated Exploration in Reinforcement Learning. Discovery Science 2011: 29
74		Peter Auer: Invited Talk: UCRL and Autonomous Exploration. EWRL 2011: 1
73		Peter Auer: Exploration and Exploitation in Online Learning. ICAIS 2011: 2
72		Yevgeny Seldin, Peter Auer, François Laviolette, John Shawe-Taylor, Ronald Ortner: PAC-Bayesian Analysis of Contextual Bandits. NIPS 2011: 1683-1691
71		Shiau Hong Lim, Peter Auer: Noisy Search with Comparative Feedback. UAI 2011: 445-452
70		Yevgeny Seldin, François Laviolette, John Shawe-Taylor, Jan Peters, Peter Auer: PAC-Bayesian Analysis of Martingales and Multiarmed Bandits CoRR abs/1105.2416: (2011)
69		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)
68		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)
67		Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer: PAC-Bayesian Inequalities for Martingales CoRR abs/1110.6886: (2011)
	2010
66		Zakria Hussain, Alex Po Leung, Kitsuchart Pasupa, David R. Hardoon, Peter Auer, John Shawe-Taylor: Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval. ECML/PKDD (1) 2010: 554-569
65		Peter Auer: Online Learning. Encyclopedia of Machine Learning 2010: 736-743
64		Thomas Jaksch, Ronald Ortner, Peter Auer: Near-optimal Regret Bounds for Reinforcement Learning. Journal of Machine Learning Research 11: 1563-1600 (2010)
63		Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex Po Leung, Kitsuchart Pasupa, John Shawe-Taylor: Pinview: Implicit Feedback in Content-Based Image Retrieval. Journal of Machine Learning Research - Proceedings Track 11: 51-57 (2010)
	2009
62		Jean-Yves Audibert, Peter Auer, Alessandro Lazaric, Rémi Munos, Daniil Ryabko, Csaba Szepesvári: Workshop summary: On-line learning with limited feedback. ICML 2009: 168
61		Johann Prankl, Martin Antenreiter, Peter Auer, Markus Vincze: Consistent Interpretation of Image Sequences to Improve Object Models on the Fly. ICVS 2009: 384-393
	2008
60		Alex Po Leung, Peter Auer: An Efficient Search Algorithm for Content-Based Image Retrieval with User Feedback. ICDM Workshops 2008: 884-890
59		Peter Auer, Thomas Jaksch, Ronald Ortner: Near-optimal Regret Bounds for Reinforcement Learning. NIPS 2008: 89-96
58		Peter Auer: Learning with Malicious Noise. Encyclopedia of Algorithms 2008
57		Peter Auer, Philip M. Long: Guest editors' introduction: Special issue on learning theory. J. Comput. Syst. Sci. 74(8): 1227 (2008)
56		Peter Auer, Harald Burgsteiner, Wolfgang Maass: A learning rule for very simple universal approximators consisting of a single layer of perceptrons. Neural Networks 21(5): 786-795 (2008)
	2007
55		Peter Auer, Ronald Ortner, Csaba Szepesvári: Improved Rates for the Stochastic Continuum-Armed Bandit Problem. COLT 2007: 454-468
54		Peter Auer, Ronald Ortner: A new PAC bound for intersection-closed concept classes. Machine Learning 66(2-3): 151-163 (2007)
	2006
53		Chamy Allenberg, Peter Auer, László Györfi, György Ottucsák: Hannan Consistency in On-Line Learning in Case of Unbounded Losses Under Partial Monitoring. ALT 2006: 229-243
52		Martin Antenreiter, Christian Savu-Krohn, Peter Auer: Visual Classification of Images by Learning Geometric Appearances Through Boosting. ANNPR 2006: 233-243
51		Peter Auer, Ronald Ortner: Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning. NIPS 2006: 49-56
50		Andreas Opelt, Axel Pinz, Michael Fussenegger, Peter Auer: Generic Object Recognition with Boosting. IEEE Trans. Pattern Anal. Mach. Intell. 28(3): 416-431 (2006)
49		Peter Auer, Nicolò Cesa-Bianchi: A distributed voting scheme to maximize preferences. ITA 40(2): 389-403 (2006)
	2005
48		Peter Auer, Ron Meir: Learning Theory, 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings Springer 2005
47		Christian Savu-Krohn, Peter Auer: A Simple Feature Extraction for High Dimensional Image Representations. SLSFS 2005: 163-172
	2004
46		Peter Auer, Ronald Ortner: A New PAC Bound for Intersection-Closed Concept Classes. COLT 2004: 408-414
45		Andreas Opelt, Michael Fussenegger, Axel Pinz, Peter Auer: Weak Hypotheses and Boosting for Generic Object Detection and Recognition. ECCV (2) 2004: 71-84
44		Peter Auer, Ronald Ortner: A Boosting Approach to Multiple Instance Learning. ECML 2004: 63-74
43		Michael Fussenegger, Andreas Opelt, Axel Pinz, Peter Auer: Object Recognition Using Segmentation for Feature Detection. ICPR (3) 2004: 41-44
	2002
42		Peter Auer, Harald Burgsteiner, Wolfgang Maass: Reducing Communication for Distributed Learning in Neural Networks. ICANN 2002: 123-128
41		Keith Andrews, Wolfgang Kienreich, Vedran Sabol, Jutta Becker, Georg Droschl, Frank Kappe, Michael Granitzer, Peter Auer, Klaus Tochtermann: The InfoSky visual explorer: exploiting hierarchical structure and document similarities. Information Visualization 1(3-4): 166-181 (2002)
40		Peter Auer, Nicolò Cesa-Bianchi, Claudio Gentile: Adaptive and Self-Confident On-Line Learning Algorithms. J. Comput. Syst. Sci. 64(1): 48-75 (2002)
39		Peter Auer: Using Confidence Bounds for Exploitation-Exploration Trade-offs. Journal of Machine Learning Research 3: 397-422 (2002)
38		Peter Auer, Nicolò Cesa-Bianchi, Paul Fischer: Finite-time Analysis of the Multiarmed Bandit Problem. Machine Learning 47(2-3): 235-256 (2002)
37		Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire: The Nonstochastic Multiarmed Bandit Problem. SIAM J. Comput. 32(1): 48-77 (2002)
	2000
36		Peter Auer, Claudio Gentile: Adaptive and Self-Confident On-Line Learning Algorithms. COLT 2000: 107-117
35		Peter Auer: An Improved On-line Algorithm for Learning Linear Evaluation Functions. COLT 2000: 118-125
34		Peter Auer: Using Upper Confidence Bounds for Online Learning. FOCS 2000: 270-279
33		Peter Auer, Philip M. Long, Wolfgang Maass, Gerhard J. Woeginger: On the Complexity of Function Learning Electronic Colloquium on Computational Complexity (ECCC) 7(50): (2000)
32		Peter Auer, Stephen Kwek, Wolfgang Maass, Manfred K. Warmuth: Learning of Depth Two Neural Networks with Constant Fan-in at the Hidden Nodes Electronic Colloquium on Computational Complexity (ECCC) 7(55): (2000)
31		Peter Auer: On-line Learning of Rectangles in Noisy Environments Electronic Colloquium on Computational Complexity (ECCC) 7(63): (2000)
30		Peter Auer: On Learning from Ambiguous Information Electronic Colloquium on Computational Complexity (ECCC) 7(66): (2000)
29		Peter Auer, Philip M. Long: Simulating Access to Hidden Information while Learning Electronic Colloquium on Computational Complexity (ECCC) 7(67): (2000)
28		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)
27		Peter Auer: Learning Nested Differences in the Presence of Malicious Noise Electronic Colloquium on Computational Complexity (ECCC) 7(69): (2000)
26		Peter Auer, Manfred K. Warmuth: Tracking the best disjunction Electronic Colloquium on Computational Complexity (ECCC) 7(70): (2000)
25		Peter Auer, Nicolò Cesa-Bianchi: On-line Learning with Malicious Noise and the Closure Algorithm Electronic Colloquium on Computational Complexity (ECCC) 7(71): (2000)
24		Peter Auer, Philip M. Long, Aravind Srinivasan: Approximating Hyper-Rectangles: Learning and Pseudo-random Sets Electronic Colloquium on Computational Complexity (ECCC) 7(72): (2000)
	1999
23		Peter Auer, Philip M. Long: Structural Results About On-line Learning Models With and Without Queries. Machine Learning 36(3): 147-181 (1999)
	1998
22		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)
21		Peter Auer, Philip M. Long, Aravind Srinivasan: Approximating Hyper-Rectangles: Learning and Pseudorandom Sets. J. Comput. Syst. Sci. 57(3): 376-388 (1998)
20		Peter Auer, Manfred K. Warmuth: Tracking the Best Disjunction. Machine Learning 32(2): 127-150 (1998)
	1997
19		Peter Auer: On Learning From Multi-Instance Examples: Empirical Evaluation of a Theoretical Approach. ICML 1997: 21-29
18		Peter Auer, Philip M. Long, Aravind Srinivasan: Approximating Hyper-Rectangles: Learning and Pseudo-Random Sets. STOC 1997: 314-323
17		Jyrki Kivinen, Manfred K. Warmuth, Peter Auer: The Perceptron Algorithm Versus Winnow: Linear Versus Logarithmic Mistake Bounds when Few Input Variables are Relevant (Technical Note). Artif. Intell. 97(1-2): 325-343 (1997)
16		Peter Auer: Learning Nested Differences in the Presence of Malicious Noise. Theor. Comput. Sci. 185(1): 159-175 (1997)
	1996
15		Peter Auer, Stephen Kwek, Wolfgang Maass, Manfred K. Warmuth: Learning of Depth Two Neural Networks with Constant Fan-In at the Hidden Nodes (Extended Abstract). COLT 1996: 333-343
14		Peter Auer, Pasquale Caianiello, Nicolò Cesa-Bianchi: Tight Bounds on the Cumulative Profit of Distributed Voters (Abstract). PODC 1996: 312
	1995
13		Peter Auer: Learning Nested Differences in the Presence of Malicious Noise. ALT 1995: 123-137
12		Peter Auer, Manfred K. Warmuth: Tracking the Best Disjunction. FOCS 1995: 312-321
11		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
10		Peter Auer, Robert C. Holte, Wolfgang Maass: Theory and Applications of Agnostic PAC-Learning with Small Decision Trees. ICML 1995: 21-29
9		Peter Auer, Mark Herbster, Manfred K. Warmuth: Exponentially many local minima for single neurons. NIPS 1995: 316-322
8		Peter Auer, Philip M. Long, Wolfgang Maass, Gerhard J. Woeginger: On the Complexity of Function Learning. Machine Learning 18(2-3): 187-230 (1995)
	1994
7		Peter Auer, Nicolò Cesa-Bianchi: On-line Learning with Malicious Noise and the Closure Algorithm. AII/ALT 1994: 229-247
6		Peter Auer, Philip M. Long: Simulating access to hidden information while learning. STOC 1994: 263-272
5		Kurt Hornik, Maxwell B. Stinchcombe, Halbert White, Peter Auer: Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives. Neural Computation 6(6): 1262-1275 (1994)
	1993
4		Peter Auer: On-Line Learning of Rectangles in Noisy Environments. COLT 1993: 253-261
3		Peter Auer, Philip M. Long, Wolfgang Maass, Gerhard J. Woeginger: On the Complexity of Function Learning. COLT 1993: 392-401
	1991
2		Peter Auer: Solving String Equations with Constant Restrictions. IWWERT 1991: 103-132
1		Peter Auer: Unification in the Combination of Disjoint Theories. IWWERT 1991: 177-186

Coauthor Index

1	Chamy Allenberg	[53]
2	Keith Andrews	[41]
3	Martin Antenreiter	[52] [61]
4	Jean-Yves Audibert	[62]
5	Jutta Becker	[41]
6	Harald Burgsteiner	[42] [56]
7	Pasquale Caianiello	[14]
8	Alexandra Carpentier	[76]
9	Nicolò Cesa-Bianchi	[7] [11] [14] [22] [25] [28] [37] [38] [40] [49] [67] [68] [69] [78]
10	Georg Droschl	[41]
11	Paul Fischer	[38]
12	Yoav Freund	[11] [28] [37]
13	Michael Fussenegger	[43] [45] [50]
14	Claudio Gentile	[36] [40]
15	Mohammad Ghavamzadeh	[76]
16	Michael Granitzer	[41]
17	László Györfi	[53]
18	David R. Hardoon	[66]
19	Mark Herbster	[9]
20	Robert C. Holte (Robert Holte)	[10]
21	Kurt Hornik	[5]
22	Zakria Hussain	[63] [66]
23	Thomas Jaksch	[59] [64]
24	Frank Kappe	[41]
25	Samuel Kaski	[63]
26	Wolfgang Kienreich	[41]
27	Jyrki Kivinen	[17]
28	Arto Klami	[63]
29	Jussi Kujala	[63]
30	Stephen Kwek	[15] [32]
31	Jorma Laaksonen	[63]
32	François Laviolette	[67] [68] [69] [70] [72] [78]
33	Alessandro Lazaric	[62] [76]
34	Alex Po Leung	[60] [63] [66]
35	Shiau Hong Lim	[71] [75] [77] [79]
36	Philip M. Long	[3] [6] [8] [18] [21] [23] [24] [29] [33] [57]
37	Wolfgang Maass	[3] [8] [10] [15] [32] [33] [42] [56]
38	Ron Meir (Ronny Meir, R. S. Meir)	[48]
39	Rémi Munos	[62] [76]
40	Andreas Opelt	[43] [45] [50]
41	Ronald Ortner	[44] [46] [51] [54] [55] [59] [64] [72]
42	György Ottucsák	[53]
43	Kitsuchart Pasupa	[63] [66]
44	Jan Peters	[69] [70]
45	Axel Pinz	[43] [45] [50]
46	Johann Prankl	[61]
47	Daniil Ryabko	[62]
48	Vedran Sabol	[41]
49	Christian Savu-Krohn	[47] [52]
50	Robert E. Schapire	[11] [28] [37]
51	Yevgeny Seldin	[67] [68] [69] [70] [72] [78]
52	John Shawe-Taylor	[63] [66] [67] [68] [69] [70] [72] [78]
53	Aravind Srinivasan	[18] [21] [24]
54	Maxwell B. Stinchcombe	[5]
55	Csaba Szepesvári	[55] [62]
56	Klaus Tochtermann	[41]
57	Markus Vincze	[61]
58	Manfred K. Warmuth	[9] [12] [15] [17] [20] [26] [32]
59	Chris Watkins	[75] [77]
60	Halbert White	[5]
61	Gerhard J. Woeginger	[3] [8] [33]

Colors in the list of coauthors

Last update Sat May 26 04:23:17 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page