Yoav Freund

	2009
55		Yoav Freund: Invited talk: Drifting games, boosting and online learning. ICML 2009: 162
54		Ron Alterovitz, Aaron Arvey, Sriram Sankararaman, Carolina Dallett, Yoav Freund, Kimmen Sjölander: ResBoost: characterizing and predicting catalytic residues in enzymes. BMC Bioinformatics 10: (2009)
53		Kamalika Chaudhuri, Yoav Freund, Daniel Hsu: A parameter-free hedging algorithm CoRR abs/0903.2851: (2009)
52		Kamalika Chaudhuri, Yoav Freund, Daniel Hsu: Tracking using explanation-based modeling CoRR abs/0903.2862: (2009)
51		Yoav Freund: A method for Hedging in continuous time CoRR abs/0904.3356: (2009)
	2008
50		Yoav Freund, László Györfi, György Turán, Thomas Zeugmann: Algorithmic Learning Theory, 19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008. Proceedings Springer 2008
49		Yoav Freund: From Microscopy Images to Models of Cellular Processes. ECML/PKDD (1) 2008: 2
48		Sanjoy Dasgupta, Yoav Freund: Random projection trees and low dimensional manifolds. STOC 2008: 537-546
47		Yoav Freund, Daniel Hsu: A new Hedging algorithm and its application to inferring latent random variables CoRR abs/0806.4802: (2008)
	2007
46		William Beaver, David Kosman, Gary Tedeschi, Ethan Bier, William McGinnis, Yoav Freund: Segmentation of Nuclei on Confocal Image Stacks Using Performance Based Thresholding. ISBI 2007: 53-56
45		Yoav Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul Verma: Learning the structure of manifolds using random projections. NIPS 2007
	2006
44		Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chris Wiggins, Yoav Freund, Christina S. Leslie: A classification-based framework for predicting and analyzing gene regulatory response. BMC Bioinformatics 7(S-1): (2006)
43		Peter Kharchenko, Lifeng Chen, Yoav Freund, Dennis Vitkup, George M. Church: Identifying metabolic enzymes with multiple types of association evidence. BMC Bioinformatics 7: 177 (2006)
	2005
42		Manuel Middendorf, Anshul Kundaje, Mihir Shah, Yoav Freund, Chris Wiggins, Christina S. Leslie: Motif Discovery Through Predictive Modeling of Gene Regulation. RECOMB 2005: 538-552
	2004
41		Rui Kuang, Eugene Ie, Ke Wang, Kai Wang, Mahira Siddiqi, Yoav Freund, Christina S. Leslie: Profile-Based String Kernels for Remote Homology Detection and Motif Extraction. CSB 2004: 152-160
40		Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie: Predicting genetic regulatory response using classification. ISMB/ECCB (Supplement of Bioinformatics) 2004: 232-240
39		Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie: Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response. Regulatory Genomics 2004: 1-13
	2003
38		Yoav Freund, Alon Orlitsky, Prasad Santhanam, Junan Zhang: Universal Coding of Zipf Distributions. COLT 2003: 736-737
37		Anat Levin, Paul A. Viola, Yoav Freund: Unsupervised Improvement of Visual Detectors using Co-Training. ICCV 2003: 626-633
36		Yoav Freund: Predicting a binary sequence almost as well as the optimal biased coin. Inf. Comput. 182(2): 73-94 (2003)
35		Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer: An Efficient Boosting Algorithm for Combining Preferences. Journal of Machine Learning Research 4: 933-969 (2003)
	2002
34		Yoav Freund, Manfred Opper: Drifting Games and Brownian Motion. J. Comput. Syst. Sci. 64(1): 113-132 (2002)
33		Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire: The Nonstochastic Multiarmed Bandit Problem. SIAM J. Comput. 32(1): 48-77 (2002)
	2001
32		Yoav Freund: An Adaptive Version of the Boost by Majority Algorithm. Machine Learning 43(3): 293-318 (2001)
	2000
31		Yoav Freund, Manfred Opper: Continuous Drifting Games. COLT 2000: 126-132
30		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)
	1999
29		Yoav Freund: An Adaptive Version of the Boost by Majority Algorithm. COLT 1999: 102-113
28		Yoav Freund, Yishay Mansour: Estimating a Mixture of Two Product Distributions. COLT 1999: 53-62
27		Yoav Freund, Llew Mason: The Alternating Decision Tree Learning Algorithm. ICML 1999: 124-133
26		Yoav Freund, Robert E. Schapire: Large Margin Classification Using the Perceptron Algorithm. Machine Learning 37(3): 277-296 (1999)
	1998
25		Yoav Freund, Robert E. Schapire: Large Margin Classification Using the Perceptron Algorithm. COLT 1998: 209-217
24		Yoav Freund: Self Bounding Learning Algorithms. COLT 1998: 247-258
23		Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer: An Efficient Boosting Algorithm for Combining Preferences. ICML 1998: 170-178
	1997
22		Yoav Freund, Yishay Mansour: Learning Under Persistent Drift. EuroCOLT 1997: 109-118
21		Robert E. Schapire, Yoav Freund, Peter Barlett, Wee Sun Lee: Boosting the margin: A new explanation for the effectiveness of voting methods. ICML 1997: 322-330
20		Yoav Freund, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth: Using and Combining Predictors That Specialize. STOC 1997: 334-343
19		Yoav Freund, Michael J. Kearns, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, Linda Sellie: Efficient Learning of Typical Finite Automata from Random Walks. Inf. Comput. 138(1): 23-48 (1997)
18		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)
17		Yoav Freund, Robert E. Schapire: A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting. J. Comput. Syst. Sci. 55(1): 119-139 (1997)
16		Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby: Selective Sampling Using the Query by Committee Algorithm. Machine Learning 28(2-3): 133-168 (1997)
	1996
15		Yoav Freund, Robert E. Schapire: Game Theory, On-Line Prediction and Boosting. COLT 1996: 325-332
14		Yoav Freund: Predicting a Binary Sequence Almost As Well As the Optimal Biased Coin. COLT 1996: 89-98
13		Yoav Freund, Robert E. Schapire: Experiments with a New Boosting Algorithm. ICML 1996: 148-156
12		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
11		Yoav Freund, Dana Ron: Learning to Model Sequences Generated by Switching Distributions. COLT 1995: 41-50
10		Yoav Freund, Robert E. Schapire: A decision-theoretic generalization of on-line learning and an application to boosting. EuroCOLT 1995: 23-37
9		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
8		Yoav Freund, Michael J. Kearns, Yishay Mansour, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire: Efficient Algorithms for Learning to Play Repeated Games Against Computationally Bounded Adversaries. FOCS 1995: 332-341
7		Yoav Freund: Boosting a Weak Learning Algorithm by Majority Inf. Comput. 121(2): 256-285 (1995)
	1993
6		Yoav Freund, Michael J. Kearns, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, Linda Sellie: Efficient learning of typical finite automata from random walks. STOC 1993: 315-324
5		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
4		Yoav Freund: An Improved Boosting Algorithm and Its Implications on Learning Complexity. COLT 1992: 391-398
3		Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby: Information, Prediction, and Query by Committee. NIPS 1992: 483-490
	1991
2		Yoav Freund, David Haussler: Unsupervised Learning of Distributions of Binary Vectors Using 2-Layer Networks. NIPS 1991: 912-919
	1990
1		Yoav Freund: Boosting a Weak Learning Algorithm by Majority. COLT 1990: 202-216

Coauthor Index

1	Ron Alterovitz	[54]
2	Aaron Arvey	[54]
3	Peter Auer	[9] [30] [33]
4	Peter Barlett	[21]
5	William Beaver	[46]
6	Ethan Bier	[46]
7	Nicolò Cesa-Bianchi	[5] [9] [12] [18] [30] [33]
8	Kamalika Chaudhuri	[52] [53]
9	Lifeng Chen	[43]
10	George M. Church	[43]
11	Carolina Dallett	[54]
12	Sanjoy Dasgupta	[45] [48]
13	László Györfi	[50]
14	David Haussler	[2] [5] [18]
15	David P. Helmbold	[5] [12] [18]
16	Daniel Hsu	[47] [52] [53]
17	Eugene Ie	[41]
18	Raj D. Iyer	[23] [35]
19	Mayank Kabra	[45]
20	Michael J. Kearns	[6] [8] [19]
21	Peter Kharchenko	[43]
22	David Kosman	[46]
23	Rui Kuang	[41]
24	Anshul Kundaje	[39] [40] [42] [44]
25	Wee Sun Lee	[21]
26	Christina S. Leslie	[39] [40] [41] [42] [44]
27	Anat Levin	[37]
28	Yishay Mansour	[8] [22] [28]
29	Llew Mason	[27]
30	William McGinnis	[46]
31	Manuel Middendorf	[39] [40] [42] [44]
32	Manfred Opper	[31] [34]
33	Alon Orlitsky	[38]
34	Dana Ron	[6] [8] [11] [19]
35	Ronitt Rubinfeld	[6] [8] [19]
36	Sriram Sankararaman	[54]
37	Prasad Santhanam	[38]
38	Robert E. Schapire	[5] [6] [8] [9] [10] [13] [15] [17] [18] [19] [20] [21] [23] [25] [26] [30] [33] [35]
39	Linda Sellie	[6] [19]
40	H. Sebastian Seung	[3] [16]
41	Mihir Shah	[42] [44]
42	Eli Shamir	[3] [16]
43	Mahira Siddiqi	[41]
44	Yoram Singer	[20] [23] [35]
45	Kimmen Sjölander	[54]
46	Gary Tedeschi	[46]
47	Naftali Tishby	[3] [16]
48	György Turán	[50]
49	Nakul Verma	[45]
50	Paul A. Viola	[37]
51	Dennis Vitkup	[43]
52	Kai Wang	[41]
53	Ke Wang	[41]
54	Manfred K. Warmuth	[5] [12] [18] [20]
55	Chris Wiggins	[39] [40] [42] [44]
56	Thomas Zeugmann	[50]
57	Junan Zhang	[38]

Colors in the list of coauthors