Yoav+Freund

an Israeli mathematician, computer scientist and professor of CS at the [|University of California, San Diego]. His research covers the area of machine learning, [|computational statistics], [|data mining] and their applications. He received his Ph.D. degree in 1993 from University of California, Santa Cruz, advisors of his thesis //Data Filtering and Distribution Modeling Algorithms for Machine Learning// were Manfred K. Warmuth, David Haussler and David P. Helmbold. He is most famous for his work with Robert Schapire on [|boosting] and the formulation of the [|AdaBoost] algorithm, awarded with the 2003 [|Gödel prize] in [|theoretical computer science], and with the [|Paris Kanellakis Prize] in 2004. Further, along with Peter Auer and Nicolò Cesa-Bianchi, Yoav Freund and Robert Schapire worked on [|multi-armed bandit problems]. || toc =Selected Publications=
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 * [[image:YoavFreund.jpg link="http://cseweb.ucsd.edu/~yfreund/"]] ||~ || **Yoav Freund**,
 * Yoav Freund ||~ ||^ ||

1990 ...

 * Yoav Freund (**1990**). //[|Boosting a Weak Learning Algorithm by Majority]//. [|COLT 1990]
 * Yoav Freund, David Haussler (**1991**). //Unsupervised Learning of Distributions of Binary Vectors Using 2-Layer Networks//. [|NIPS 1991]
 * Yoav Freund (**1993**). //Data Filtering and Distribution Modeling Algorithms for Machine Learning//. Ph.D. thesis, University of California, Santa Cruz, advisors Manfred K. Warmuth, David Haussler, David P. Helmbold, [|CiteSeerX]

1995 ...

 * Yoav Freund.(**1995**). //Boosting a weak learning algorithm by majority//. [|Information and Computation], Vol. 121, No. 2, [|pdf]
 * Yoav Freund, Robert Schapire (**1996**). //Game Theory, On-line Prediction and Boosting//. [|COLT 1996], [|pdf]
 * Yoav Freund (**1996**). //Predicting a Binary Sequence Almost As Well As the Optimal Biased Coin//. [|COLT 1996], [|pdf]
 * Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, Manfred K. Warmuth (**1996**). //On-line Prediction and Conversion Strategies//. [|Machine Learning], Vol. 25, No 1, [|pdf]
 * Yoav Freund, Robert Schapire (**1997**). //A decision-theoretic generalization of on-line learning and an application to boosting//. [|Journal of Computer and System Sciences], Vol. 55, No. 1, [|1996 pdf] » [|AdaBoost]
 * Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, David Haussler, Robert Schapire, Manfred K. Warmuth (**1997**). //How to Use Expert Advice//. Journal of the ACM, Vol. 44, No. 3, [|pdf]
 * Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert Schapire (**1998**). //Gambling in a rigged casino: The adversarial multi-arm bandit problem//. [|NeuroCOLT2], [|pdf]
 * Robert Schapire, Yoav Freund, Peter Bartlett, Wee Sun Lee (**1998**). //Boosting the margin: A new explanation for the effectiveness of voting methods//. [|Annals of Statistic], [|pdf]
 * Yoav Freund, Robert Schapire (**1999**). //Adaptive game playing using multiplicative weights//. [|Games and Economic Behavior], Vol. 29, [|pdf]
 * Yoav Freund, Robert Schapire (**1999**). //[|Large Margin Classification using the Perception Algorithm]//. [|Machine Learning], Vol. 37, No. 3, [|pdf]

2000 ...

 * Yoav Freund, Manfred Opper (**2000**). //Continuous Drifting Games//. [|COLT 2000], [|pdf], [|2001 pdf]
 * Yoav Freund (**2001**). //An Adaptive Version of the Boost by Majority Algorithm//. [|Machine Learning], Vol. 43, No. 3
 * Yoav Freund, Manfred Opper (**2002**). //[|Drifting Games and Brownian Motion]//. [|Journal of Computer and System Sciences], Vol. 64, No. 1
 * Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert Schapire (**2002**). //The Nonstochastic Multiarmed Bandit Problem//. [|SIAM Journal on Computing], Vol. 32, No. 1, [|2001 pdf]

2005 ...

 * Sanjoy Dasgupta, Yoav Freund (**2008**). //Random projection trees and low dimensional manifolds//. [|STOC 2008], [|pdf]
 * Yoav Freund (**2008**). //[|From Microscopy Images to Models of Cellular Processes]//. [|ECML/PKDD]
 * Sanjoy Dasgupta, Yoav Freund (**2009**). //Random projection trees for vector quantization//. IEEE Transactions on Information Theory, Vol. 55, No. 7

2010 ...

 * Yoav Freund (**2010**). //Data winnowing//. [|KDD 2010], [|abstract as pdf]
 * Robert Schapire, Yoav Freund (**2012**). //[|Boosting: Foundations and Algorithms]//. [|MIT Press]
 * [|Akshay Balsubramani], Sanjoy Dasgupta, Yoav Freund (**2013**). //The Fast Convergence of Incremental PCA//. [|arXiv:1501.03796]

2015 ...

 * [|Akshay Balsubramani], Yoav Freund (**2015**). //PAC-Bayes with Minimax for Confidence-Rated Transduction//. [|arXiv:1501.03838]
 * [|Akshay Balsubramani], Yoav Freund (**2015**). //Optimally Combining Classifiers Using Unlabeled Data//. [|arXiv:1503.01811]

=External Links=
 * [|Yoav Freund's Home Page]
 * [|Yoav Freund from Wikipedia]
 * [|The Mathematics Genealogy Project - Yoav Freund]
 * [|Yoav Freund | LinkedIn]
 * [|Yoav Freund - Google Scholar Citations]

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