Publication list

1. Sanjoy Dasgupta and Yoav Freund.
   Random projection trees for Vector Quantization
   IEEE Transactions on Information Theory July 2009.Vol 55, Issue 7.
   UCSD Technical Report CS2007-0890
   Acrobat pdf (255013 bytes)

2. Alterovitz R, Arvey A, Sankararaman S, Dallett C, Freund Y, Sjolander K.
   ResBoost: characterizing and predicting catalytic residues in enzymes.
   BMC Bioinformatics. 2009 Jun 27;10(1):197.
   

3. Yoav Freund
   A more robust boosting algorithm.
   May 2009. Arxiv/0905.2138
   

4. Kamalika Chaudhuri, Yoav Freund, Daniel Hsu
   A parameter-free hedging algorithm.
   Advances in Neural Information Processing Systems 22, 2009
   Acrobat pdf (158599 bytes)

5. Kamalika Chaudhuri, Yoav Freund, Daniel Hsu
   An Online Learning-based Framework for Tracking
   Uncertainty in Artificial Intelligence, 2010.
   Acrobat pdf (245445 bytes)

6. Yoav Freund
   A method for Hedging in continuous time.
   May 2009. Arxiv/0904.3356
   

7. Evan Ettinger and Yoav Freund.
   Coordinate-Free Calibration of an Acoustically Driven Camera Pointing System.
   International Conference on Distributed Smart Cameras (ICDSC), September 2008.
   Acrobat pdf (1545923 bytes)

8. Kabra, Freund, Baird
   Selective Scanning for faster Prostate Pathology.
   Workshop on Bio-Image Informatics, UC Santa Barbara. 2008.
   Acrobat pdf (1406485 bytes)

9. Liu, Freund, Spraggon
   Image-based crystal detection: a machine-learning approach
   Acta Crystallogr D Biol Crystallogr. 2008 December 1
   

10. Beaver, Pare, Kosman, Bier, McGinnis, Freund
    Collections of classifiers tuned for cell finding within and application to building digital cell atlases of Drosophila embryos.
    Workshop on Bio-Image Informatics, UC Santa Barbara. 2008.
    Acrobat pdf (3584015 bytes)

11. Yoav Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul Verma
    Learning the structure of manifolds using random projections
    NIPS 2007
    Acrobat pdf (844383 bytes)

12. Gregory Giannone, Benjamin J. Dubin-Thaler, Olivier Rossier, Yunfei Cai, Oleg Chaga, Guoying Jiang, William Beaver, Hans-Gunther Dobereiner, Yoav Freund, Gary Borisy and Michael P. Sheetz
    Lamellipodial Actin Mechanically Links Myosin Activity with Adhesion-Site Formation
    Cell, Vol 128, 561-575, 09 February 2007
    

13. Kharchenko P, Chen L, Freund Y, Vitkup D, Church GM.
    Identifying metabolic enzymes with multiple types of association evidence.
    BMC Bioinformatics. 2006 Mar 29;7:177.
    

14. Yotam Abramson and Yoav Freund.
    Active Learning for Visual Object Recognition.
    UCSD Technical report
    Postscript (15180317 bytes) gzipped postscript (2977702 bytes) Acrobat pdf (3234907 bytes)

15. German Creamer and Yoav Freund.
    Predicting Performance and Quantifying Corporate Governance Risk for Latin American ADRs and Banks.
    To appear in Proceedings of the 2nd IASTED International Conference on Financial Engineering and Applications 2004
    Acrobat pdf (247820 bytes)

16. Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund and Christina Leslie.
    Predicting Genetic Regulatory Response Using Classification.
    Proceedings of the International Conference on Intelligent Systems for Molecular Biology 2004.
    Acrobat pdf (665238 bytes)

17. Rui Kuang, Eugene Ie, Ke Wang, Mahira Siddiqi, Yoav Freund and Christina Leslie.
    Profile-based string kernels for remote homology detection and motif extraction.
    To appear in Proceedings of the Conference on Computational Systems Bioinformatics 2004.
    Acrobat pdf (498412 bytes)

18. Anat Levin, Paul Viola and Yoav Freund.
    Unsupervised Improvement of Visual Detectors using Co-Training
    Proceedings of the International Conference on Computer Vision 2003.
    Acrobat pdf (381823 bytes)

19. Yoav Freund, Yishay Mansour and Robert E. Schapire.
    Generalization bounds for averaged classifiers. (How to be a Bayesian without Believing)
    The Annals of Statistics Vol. 32, No. 4, 1698--1722, August 2004. (also available through Project Euclid )
    A preliminary version appeared in the Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001.
    Acrobat pdf (450074 bytes)

20. Yoav Freund and Robert E. Schapire.
    Discussion of three papers regarding the asymptotic consistency of boosting.
    Annals of Statistics 32(1), February 2004.
    Acrobat pdf (60318 bytes)

21. Yoav Freund and Manfred Opper.
    Drifting games and Brownian motion.
    Journal of Computer and System Sciences, 64:113--132, 2002.
    A preliminary version appeared in the Proceedings of the 13th Annual Conference on Computational Learning Theory, 2000.
    Postscript (679709 bytes) gzipped postscript (176179 bytes) Acrobat pdf (340968 bytes)

22. Yoav Freund and Robert E. Schapire.
    Discussion of the paper ``Additive logistic regression: a statistical view of boosting'' by J. Friedman, T. Hastie and R. Tibshirani.
    The Annals of Statistics, 38(2):391--393, April, 2000.
    Postscript (38283 bytes) gzipped postscript (16796 bytes) Acrobat pdf (80253 bytes)

23. Yoav Freund.
    An adaptive version of the boost by majority algorithm.
    Machine Learning, 43(3):293--318, June 2001.
    A preliminary version appeared in the Proceedings of the 12th Annual Conference on Computational Learning Theory, 1999.
    Postscript (246060 bytes) gzipped postscript (93270 bytes) Acrobat pdf (241972 bytes)

24. Yoav Freund and Robert E. Schapire.
    A short introduction to boosting.
    Journal of Japanese Society for Artificial Intelligence, 14(5):771--780, September, 1999. (Appeari`ng in Japanese, translation by Naoki Abe.)
    Postscript (302376 bytes) gzipped postscript (72931 bytes) Acrobat pdf (171228 bytes)

25. Yoav Freund and Yishay Mansour.
    Estimating a mixture of two product distributions.
    In Proceedings of the 12th Annual Conference on Computational Learning Theory, 1999.
    Postscript (157543 bytes) gzipped postscript (59002 bytes) Acrobat pdf (195896 bytes)

26. Yoav Freund and Llew Mason.
    The alternating decision tree learning algorithm.
    In Proceedings of the Sixteenth International Conference on Machine Learning, pages 124--133, 1999.
    Postscript (204090 bytes) gzipped postscript (60181 bytes) Acrobat pdf (223176 bytes)

27. Yoav Freund and Robert E. Schapire.
    Large margin classification using the perceptron algorithm.
    Machine Learning, 37(3):277--296, 1999.
    A preliminary version appeared in the Proceedings of the 11th Annual Conference on Computational Learning Theory, 1998.
    Postscript (202186 bytes) gzipped postscript (62175 bytes) Acrobat pdf (195393 bytes)

28. Yoav Freund, Raj Iyer, Robert E. Schapire and Yoram Singer.
    An efficient boosting algorithm for combining preferences.
    Accepted pending revision to Journal of Machine Learning Research.
    A preliminary version appeared in the Proceedings of the Fifteenth International Conference on Machine Learning, 1998.
    Postscript (558042 bytes) gzipped postscript (190029 bytes) Acrobat pdf (577249 bytes)

29. Yoav Freund.
    Self bounding learning algorithms.
    In Proceedings of the 11th Annual Conference on Computational Learning Theory, 1998.
    Postscript (167823 bytes) gzipped postscript (62213 bytes) Acrobat pdf (196090 bytes)

30. Yoav Freund and Robert E. Schapire.
    Discussion of the paper ``Arcing classifiers'' by L. Breiman.
    The Annals of Statistics, 26(3):824--832, 1998.
    Postscript (106090 bytes) gzipped postscript (33918 bytes) Acrobat pdf (87669 bytes)

31. Yoav Freund.
    An Introduction to Boosting based Classification.
    In Proceedings of the AT\&T conference on Quantitative Analysis, 1998.
    gzipped postscript (54763 bytes)

32. Robert E. Schapire, Yoav Freund, Peter Bartlett and Wee Sun Lee.
    Boosting the margin: A new explanation for the effectiveness of voting methods.
    The Annals of Statistics, 26(5):1651--1686, 1998.
    A preliminary version appeared in the Proceedings of the 14th International Conference on Machine Learning, 1997.
    Postscript (1370913 bytes) gzipped postscript (250344 bytes) Acrobat pdf (373213 bytes)

33. Yoav Freund, Robert E. Schapire, Yoram Singer and Manfred K. Warmuth.
    Using and combining predictors that specialize.
    In Proceedings of the Twenty-Ninth Annual ACM Symposium on the Theory of Computing, pages 334--343, 1997.
    Postscript (175122 bytes) gzipped postscript (58569 bytes) Acrobat pdf (179293 bytes)

34. Yoav Freund, H. Sebastian Seung, Eli Shamir, and Naftali Tishby.
    Selective sampling using the query by committee algorithm.
    Machine Learning, 28(2-3):133--168, 1997.
    Postscript (398694 bytes) gzipped postscript (124400 bytes) Acrobat pdf (404656 bytes)

35. Yoav Freund and Yishay Mansour.
    Learning under persistent drift.
    In Proceedings of the third European Conference on Computational Learning Theory, pages 109--118, 1997.
    Postscript (132060 bytes) gzipped postscript (40929 bytes) Acrobat pdf (178724 bytes)

36. Yoav Freund and Robert E. Schapire.
    Experiments with a new boosting algorithm.
    In the Proceedings of the Thirteenth International Conference on Machine Learning, pages 148--156, 1996.
    Postscript (473680 bytes) gzipped postscript (101321 bytes) Acrobat pdf (219704 bytes)

37. Yoav Freund and Robert E. Schapire.
    Adaptive game playing using multiplicative weights.
    Games and Economic Behavior, 29:79--103, 1999.
    A preliminary version appeared in the Proceedings of the Ninth Annual Conference on Computational Learning Theory, pages 325--332, 1996.
    Postscript (154151 bytes) gzipped postscript (57574 bytes) Acrobat pdf (194660 bytes)

38. Yoav Freund.
    Predicting a binary sequence almost as well as the optimal biased coin.
    To appear in Information and Computation.
    A preliminary version appeared in the Proceedings of the Ninth Annual Conference on Computational Learning Theory, 1996.
    Postscript (179302 bytes) gzipped postscript (59069 bytes) Acrobat pdf (215150 bytes)

39. Yoav Freund and Robert E. Schapire.
    A decision-theoretic generalization of on-line learning and an application to boosting.
    Journal of Computer and System Sciences, 55(1):119--139, 1997.
    A preliminary version appeared in the Proceedings of the Second European Conference on Computational Learning Theory, 1995.
    Postscript (383605 bytes) gzipped postscript (145060 bytes) Acrobat pdf (386451 bytes)

40. Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, and Robert E. Schapire.
    The non-stochastic multi-armed bandit problem.
    To Appear in SIAM Journal on Computing.
    A preliminary version appeared in the Proceedings of the 36th Annual Symposium on Foundations of Computer Science, 1995.
    Postscript (348815 bytes) gzipped postscript (121545 bytes) Acrobat pdf (300755 bytes)

41. Meir Feder, Yoav Freund, and Yishay Mansour.
    Optimal universal learning and prediction of probabilistic concepts.
    In Proceedings of the International Symposium on Information Theory, 1995.
    

42. Yoav Freund and Dana Ron.
    Learning to model sequences generated by switching distributions.
    In Proceedings of the Eighth Annual Conference on Computational Learning Theory, pages 41--50, 1995.
    Postscript (265338 bytes) gzipped postscript (78778 bytes) Acrobat pdf (284659 bytes)

43. Yoav Freund, Michael Kearns, Yishay Mansour, Dana Ron, Ronitt Rubinfeld, and Robert E. Schapire.
    Efficient algorithms for learning to play repeated games against computationally bounded adversaries.
    In 36th Annual Symposium on Foundations of Computer Science pages 332--341, 1995.
    Postscript (160669 bytes) gzipped postscript (54962 bytes) Acrobat pdf (196955 bytes)

44. Yoav Freund, Michael Kearns, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, and Linda Sellie.
    Efficient learning of typical finite automata from random walks.
    Information and Computation, 138(1):23--48, 1997.
    A preliminary version appeared in the Proceedings of the Twenty-Fifth Annual ACM Symposium on the Theory of Computing, 1993.
    Postscript (276701 bytes) gzipped postscript (85229 bytes) Acrobat pdf (282836 bytes)

45. Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, David Haussler, Robert E. Schapire, and Manfred K. Warmuth.
    How to use expert advice.
    Journal of the Association for Computing Machinery, 44(3):427--485, 1997.
    A preliminary version appeared in the Proceedings of the Twenty-Fifth Annual ACM Symposium on the Theory of Computing, 1993.
    Postscript (547246 bytes) gzipped postscript (171969 bytes) Acrobat pdf (493345 bytes)

46. Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, and Manfred K. Warmuth.
    On-line prediction and conversion strategies.
    Machine Learning, 25:71--110, 1996.
    A preliminary version appeared in the Proceedings of the first European Conference on Computational Learning Theory, 1993.
    Postscript (384535 bytes) gzipped postscript (122634 bytes) Acrobat pdf (426386 bytes)

47. Yoav Freund and David Haussler.
    Unsupervised learning of distributions of binary vectors using two layer networks.
    UCSC Technical Report UCSC-CRL-94-25
    A preliminary version appeared in Advances in Neural Information Processing Systems, volume 4, pages 912--919, 1992.
    Postscript (996179 bytes) gzipped postscript (208099 bytes) Acrobat pdf (452380 bytes)

48. Yoav Freund.
    Boosting a weak learning algorithm by majority.
    Information and Computation, 121(2):256--285, 1995.
    Preliminary versions appeared in the Proceedings of the Third Annual Workshop on Computational Learning Theory, 1990, and in the Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory, 1992.
    Postscript (569434 bytes) gzipped postscript (168340 bytes) Acrobat pdf (648818 bytes)