Yoav Freund

2008
46	EE	Sanjoy Dasgupta, Yoav Freund: Random projection trees and low dimensional manifolds. STOC 2008: 537-546
45	EE	Yoav Freund, Daniel Hsu: A new Hedging algorithm and its application to inferring latent random variables CoRR abs/0806.4802: (2008)
2007
44	EE	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
2006
43	EE	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	EE	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	EE	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	EE	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	EE	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	EE	Yoav Freund, Alon Orlitsky, Prasad Santhanam, Junan Zhang: Universal Coding of Zipf Distributions. COLT 2003: 736-737
37	EE	Anat Levin, Paul A. Viola, Yoav Freund: Unsupervised Improvement of Visual Detectors using Co-Training. ICCV 2003: 626-633
36	EE	Yoav Freund: Predicting a binary sequence almost as well as the optimal biased coin. Inf. Comput. 182(2): 73-94 (2003)
35	EE	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	EE	Yoav Freund, Manfred Opper: Drifting Games and Brownian Motion. J. Comput. Syst. Sci. 64(1): 113-132 (2002)
33	EE	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	EE	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	EE	Yoav Freund: An Adaptive Version of the Boost by Majority Algorithm. COLT 1999: 102-113
28	EE	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	EE	Yoav Freund, Robert E. Schapire: Large Margin Classification Using the Perceptron Algorithm. COLT 1998: 209-217
24	EE	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	EE	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	EE	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	EE	Yoav Freund, Robert E. Schapire: Game Theory, On-Line Prediction and Boosting. COLT 1996: 325-332
14	EE	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	EE	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	EE	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	EE	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	EE	Yoav Freund: An Improved Boosting Algorithm and Its Implications on Learning Complexity. COLT 1992: 391-398
3	EE	Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby: Information, Prediction, and Query by Committee. NIPS 1992: 483-490
1991
2	EE	Yoav Freund, David Haussler: Unsupervised Learning of Distributions of Binary Vectors Using 2-Layer Networks. NIPS 1991: 912-919
1990
1	EE	Yoav Freund: Boosting a Weak Learning Algorithm by Majority. COLT 1990: 202-216

Coauthor Index

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

Colors in the list of coauthors